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Sample records for socioeconomic groups multivariate

  1. Socioeconomic Inequalities in Stroke Incidence Among Migrant Groups

    DEFF Research Database (Denmark)

    Agyemang, Charles; van Oeffelen, AA; Nørredam, Marie Louise

    2014-01-01

    Background and Purpose—Low socioeconomic status has been linked to high incidence of stroke in industrialized countries; therefore, reducing socioeconomic disparities is an important goal of health policy. The evidence on migrant groups is, however, limited and inconsistent. We assessed socioecon......Background and Purpose—Low socioeconomic status has been linked to high incidence of stroke in industrialized countries; therefore, reducing socioeconomic disparities is an important goal of health policy. The evidence on migrant groups is, however, limited and inconsistent. We assessed...... socioeconomic inequalities in relation to stroke incidence among major ethnic groups in the Netherlands. Methods—A nationwide register-based cohort study was conducted (n=2 397 446) between January 1, 1998, and December 31, 2010, among ethnic Dutch and ethnic minority groups. Standardized disposable household...... income was used as a measure of socioeconomic position. Results—Among ethnic Dutch, the incidence of stroke was higher in the low-income group than in the high-income group (adjusted hazard ratio, 1.18; 95% confidence interval, 1.16–1.20). Similar socioeconomic inequalities in stroke incidence were found...

  2. Absolute and Relative Socioeconomic Health Inequalities across Age Groups.

    Science.gov (United States)

    van Zon, Sander K R; Bültmann, Ute; Mendes de Leon, Carlos F; Reijneveld, Sijmen A

    2015-01-01

    The magnitude of socioeconomic health inequalities differs across age groups. It is less clear whether socioeconomic health inequalities differ across age groups by other factors that are known to affect the relation between socioeconomic position and health, like the indicator of socioeconomic position, the health outcome, gender, and as to whether socioeconomic health inequalities are measured in absolute or in relative terms. The aim is to investigate whether absolute and relative socioeconomic health inequalities differ across age groups by indicator of socioeconomic position, health outcome and gender. The study sample was derived from the baseline measurement of the LifeLines Cohort Study and consisted of 95,432 participants. Socioeconomic position was measured as educational level and household income. Physical and mental health were measured with the RAND-36. Age concerned eleven 5-years age groups. Absolute inequalities were examined by comparing means. Relative inequalities were examined by comparing Gini-coefficients. Analyses were performed for both health outcomes by both educational level and household income. Analyses were performed for all age groups, and stratified by gender. Absolute and relative socioeconomic health inequalities differed across age groups by indicator of socioeconomic position, health outcome, and gender. Absolute inequalities were most pronounced for mental health by household income. They were larger in younger than older age groups. Relative inequalities were most pronounced for physical health by educational level. Gini-coefficients were largest in young age groups and smallest in older age groups. Absolute and relative socioeconomic health inequalities differed cross-sectionally across age groups by indicator of socioeconomic position, health outcome and gender. Researchers should critically consider the implications of choosing a specific age group, in addition to the indicator of socioeconomic position and health outcome

  3. Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure.

    Science.gov (United States)

    Li, Yanming; Nan, Bin; Zhu, Ji

    2015-06-01

    We propose a multivariate sparse group lasso variable selection and estimation method for data with high-dimensional predictors as well as high-dimensional response variables. The method is carried out through a penalized multivariate multiple linear regression model with an arbitrary group structure for the regression coefficient matrix. It suits many biology studies well in detecting associations between multiple traits and multiple predictors, with each trait and each predictor embedded in some biological functional groups such as genes, pathways or brain regions. The method is able to effectively remove unimportant groups as well as unimportant individual coefficients within important groups, particularly for large p small n problems, and is flexible in handling various complex group structures such as overlapping or nested or multilevel hierarchical structures. The method is evaluated through extensive simulations with comparisons to the conventional lasso and group lasso methods, and is applied to an eQTL association study. © 2015, The International Biometric Society.

  4. Diabetes and work: 12-year national follow-up study of the association of diabetes incidence with socioeconomic group, age, gender and country of origin.

    Science.gov (United States)

    Poulsen, Kjeld; Cleal, Bryan; Willaing, Ingrid

    2014-12-01

    To investigate the extent and socioeconomic distribution of incident diabetes among the Danish working-age population. The Danish National Diabetes Register was linked with socioeconomic and population-based registers covering the entire population. We analysed the 12-year diabetes incidence using multivariate Poisson regression for 2,086,682 people, adjusting for gender, 10-year age groups, main population groups defined by country of origin, and seven socioeconomic groups: professionals, managers, technicians, workers skilled at basic level, unskilled workers, unemployed and pensioners. The crude 12-year incidence of diabetes was 5.8%. The saturated multivariate model, adjusted for gender, age, country of origin and socioeconomic status; showed a relative risk (RR) for diabetes incidence of 1.44 for male (reference: female), 3.95 for the age range of 50-59 years (reference: 30-39 years), 2.07 for unskilled workers (reference: professionals) and 2.15 for people from countries of 'non-Western origin' (reference: Danish origin). Diabetes incidence increases with age, male gender and low socioeconomic status; and also among people from countries of 'non-Western origin'. The results indicate that getting a more senior workforce will substantially increase the proportion of workers with diabetes, especially among already vulnerable groups. © 2014 the Nordic Societies of Public Health.

  5. Absolute and Relative Socioeconomic Health Inequalities across Age Groups

    NARCIS (Netherlands)

    van Zon, Sander K. R.; Bultmann, Ute; de Leon, Carlos F. Mendes; Reijneveld, Sijmen A.

    2015-01-01

    Background The magnitude of socioeconomic health inequalities differs across age groups. It is less clear whether socioeconomic health inequalities differ across age groups by other factors that are known to affect the relation between socioeconomic position and health, like the indicator of

  6. The analysis of multivariate group differences using common principal components

    NARCIS (Netherlands)

    Bechger, T.M.; Blanca, M.J.; Maris, G.

    2014-01-01

    Although it is simple to determine whether multivariate group differences are statistically significant or not, such differences are often difficult to interpret. This article is about common principal components analysis as a tool for the exploratory investigation of multivariate group differences

  7. Contribution of ethnic group and socioeconomic status to degree of disability in rheumatoid arthritis in Chilean patients.

    Science.gov (United States)

    Alarcón, Ana M; Muñoz, Sergio; Kaufman, Jay S; Martínez, Carlos; Riedemann, Pablo; Kaliski, Sonia

    2015-04-01

    The aim of this study was to estimate the contributions of ethnic group and socioeconomic status as social determinants related to disability and disease activity in Chilean Mapuche and non-Mapuche patients with rheumatoid arthritis (RA). Descriptive cross-sectional study with a stratified hospital-based sample of 189 patients in treatment with disease-modifying anti-rheumatic drugs. We assessed disability as categorical variable with the Health Assessment Questionnaire, disease activity with the Disease Activity Score instrument, and socioeconomic status with a standard questionnaire used by the Chilean government. Measures of association, stratified analyses and a multiple logistic regression model were used to analyze the data using the Stata 12.1 software package. Low socioeconomic status (annual income below US$ 7,200) is associated with disability (OR 3.87 CI 1.68-9.20) and Mapuche ethnic identity also contributes to disability (OR 2.48, CI 1.09-5.89). Relevant but not statistically significant in multivariable models were variables such as age, gender and place of residence. RA patients with a low socioeconomic status have almost three times the odds of having a moderate to high disability, independent of their ethnic group, gender or place of residence. Therefore, healthcare efforts should be aimed at promoting early diagnosis and prompt treatment among populations with high levels of poverty, which in the region of the Araucanía means primarily indigenous rural areas.

  8. Socio-economic status and health in a marginalized group: the role of subjective social status among prison inmates.

    Science.gov (United States)

    Friestad, Christine

    2010-12-01

    One problem in studies of social inequality in health is that traditional socio-economic indicators are unsuitable for groups finding themselves on the outside of those societal arenas from which measures of education, income and occupation are generated. A measure of subjective social position has accordingly been proposed as an addition to the traditional objective socio-economic measures. The present study investigates this concepts' usefulness as an addition to objective SES markers in a sample of prison inmates, known for their marginalized position in society as well as their poor health. Analyses are based on the male part (n = 225) of a nationally representative sample of prison inmates in Norway. Outcome measures are self-rated health, long-standing illness or disability, mental health problems, perceived change in health status and drug use. Analyses of correlation as well as multivariate logistic regression analyses were performed. Subjective social status was bivariately related to all of the health outcomes, except long-standing illness. Multivariate analyses indicated that subjective social status influenced the odds of experiencing mental health problems, but not any of the other health outcomes when controlling for the other independent variables. Subjective social status may add important information to our understanding of the relationship between social disadvantage and mental health in a marginalized social group such as prison inmates.

  9. Filipino students' reported parental socialization of academic achievement by socioeconomic group.

    Science.gov (United States)

    Bernardo, Allan B I

    2009-10-01

    Academic achievement of students differs by socioeconomic group. Parents' socialization of academic achievement in their children was explored in self-reports of 241 students from two socioeconomic status (SES) groups in the Philippines, using a scale developed by Bempechat, et al. Students in the upper SES group had higher achievement than their peers in the middle SES group, but had lower scores on most dimensions of parental socialization of academic achievement. Regression analyses indicate that reported parental attempts to encourage more effort to achieve was associated with lower achievement in students with upper SES.

  10. High adherence to the Mediterranean diet is associated with cardiovascular protection in higher but not in lower socioeconomic groups: prospective findings from the Moli-sani study.

    Science.gov (United States)

    Bonaccio, Marialaura; Di Castelnuovo, Augusto; Pounis, George; Costanzo, Simona; Persichillo, Mariarosaria; Cerletti, Chiara; Donati, Maria Benedetta; de Gaetano, Giovanni; Iacoviello, Licia

    2017-10-01

    It is uncertain whether the cardiovascular benefits associated with Mediterranean diet (MD) may differ across socioeconomic groups. Prospective analysis on 18991 men and women aged ≥35 years from the general population of the Moli-sani cohort (Italy). Adherence to MD was appraised by the Mediterranean diet score (MDS). Household income (euros/year) and educational level were used as indicators of socioeconomic status. Hazard ratios (HR) were calculated by multivariable Cox proportional hazard models. Over 4.3 years of follow-up, 252 cardiovascular disease (CVD) events occurred. Overall, a two-point increase in MDS was associated with 15% reduced CVD risk (95% confidence interval: 1% to 27%). Such association was evident in highly (HR = 0.43; 0.25-0.72) but not in less (HR = 0.94; 0.78-1.14) educated subjects (P for interaction = 0.042). Similarly, CVD advantages associated with the MD were confined to the high household income group (HR = 0.39; 0.23-0.66, and HR = 1.01; 0.79-1.29 for high- and low-income groups, respectively; P for interaction = 0.0098). In a subgroup of individuals of different socioeconomic status but sharing similar MDS, diet-related disparities were found as different intakes of antioxidants and polyphenols, fatty acids, micronutrients, dietary antioxidant capacity, dietary diversity, organic vegetables and whole grain bread consumption. MD is associated with lower CVD risk but this relationship is confined to higher socioeconomic groups. In groups sharing similar scores of adherence to MD, diet-related disparities across socioeconomic groups persisted. These nutritional gaps may reasonably explain at least in part the socioeconomic pattern of CVD protection from the MD. © The Author 2017; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association

  11. Clothing Problems of Upper Middle Socio-Economic Group ...

    African Journals Online (AJOL)

    This paper focuses on the clothing problems of affluent female consumers in the upper middle socioeconomic group, who have money to spend, as well as some access to retail fashion. Their clothing problems were discussed in relation to fashion leadership, fashion involvement, brand typologies, maintaining an interest in ...

  12. Extending a scatterplot for displaying group structure in multivariate ...

    African Journals Online (AJOL)

    ... when regarded as extensions of ordinary scatterplots to describe variation and group structure in multivariate observations, is demonstrated by presenting a case study from the South African wood pulp industry. It is shown how multidimensional standards specified by users of a product may be added to the biplot in the ...

  13. Mortality among children and young persons in Sweden in relation to childhood socioeconomic group.

    OpenAIRE

    Vågerö, D; Ostberg, V

    1989-01-01

    More than 1.5 million children in Sweden were followed up for the period 1961-1979 with respect to mortality. Mortality differences by socioeconomic group were studied for the age groups 1-19 years. Children in families of non-manual workers, both boys and girls, had a significantly lower mortality than children of manual workers and children of self employed persons. The socioeconomic differences in risk of dying were greater among boys than among girls. For boys, the socioeconomic differenc...

  14. School-related risk factors for drunkenness among adolescents: risk factors differ between socio-economic groups

    DEFF Research Database (Denmark)

    Andersen, Anette; Holstein, Bjørn E; Due, Pernille

    2006-01-01

    Purpose: To examine, separately for boys and girls, whether socio-economic differences in drunkenness exist in adolescence, whether the level of exposure to school-related risk factors differ between socio-economic groups, and whether the relative contribution of school-related risk factors......) was measured by parental occupation. RESULTS: Among girls, exposures to school-related risk factors were more prevalent in lower socio-economic groups. Poor school satisfaction was associated with drunkenness among girls from high SEP, odds ratio (OR) = 2.98 (0.73-12.16). Among boys from high SEP autonomy...

  15. Interventions to improve physical activity among socioeconomically disadvantaged groups: an umbrella review.

    Science.gov (United States)

    Craike, Melinda; Wiesner, Glen; Hilland, Toni A; Bengoechea, Enrique Garcia

    2018-05-15

    People from socioeconomically disadvantaged population groups are less likely to be physically active and more likely to experience adverse health outcomes than those who are less disadvantaged. In this umbrella review we examined across all age groups, (1) the effectiveness of interventions to improve physical activity among socioeconomically disadvantaged groups, (2) the characteristics of effective interventions, and (3) directions for future research. PubMed/MEDLINE and Scopus were searched up to May 2017 to identify systematic reviews reporting physical activity interventions in socioeconomically disadvantaged populations or sub-groups. Two authors independently conducted study screening and selection, data extraction (one author, with data checked by two others) and assessment of methodological quality using the 'Assessment of Multiple Systematic Reviews' scale. Results were synthesized narratively. Seventeen reviews met our inclusion criteria, with only 5 (30%) reviews being assessed as high quality. Seven (41%) reviews focused on obesity prevention and an additional four focused on multiple behavioural outcomes. For pre school children, parent-focused, group-based interventions were effective in improving physical activity. For children, school-based interventions and policies were effective; few studies focused on adolescents and those that did were generally not effective; for adults, there was mixed evidence of effectiveness but characteristics such as group-based interventions and those that focused on physical activity only were associated with effectiveness. Few studies focused on older adults. Across all ages, interventions that were more intensive tended to be more effective. Most studies reported short-term, rather than longer-term, outcomes and common methodological limitations included high probability of selection bias, low response rates, and high attrition. Interventions can be successful at improving physical activity among children from

  16. Influence of social support on health among gender and socio-economic groups of adolescents

    NARCIS (Netherlands)

    Geckova, A; van Dijk, JP; Stewart, R; Groothoff, JW; Post, D

    Background: The influence of social support on health was explored among gender and socio-economic groups with the aim of contributing to the explanation of socio-economic health differences among Slovak adolescents. Methods: The sample consisted of 2616 Slovak adolescents (52.4% male, 47.6% female,

  17. Clinical patch test data evaluated by multivariate analysis. Danish Contact Dermatitis Group

    DEFF Research Database (Denmark)

    Christophersen, J; Menné, T; Tanghøj, P

    1989-01-01

    The aim of the present study was to evaluate the influence of individual explanatory factors, such as sex, age, atopy, test time and presence of diseased skin, on clinical patch test results, by application of multivariate statistical analysis. The study population was 2166 consecutive patients...... patch tested with the standard series of the International Contact Dermatitis Research Group (ICDRG) by members of the Danish Contact Dermatitis Group (DCDG) over a period of 6 months. For the 8 test allergens most often found positive (nickel, fragrance-mix, cobalt, chromate, balsam of Peru, carba......-mix, colophony, and formaldehyde), one or more individual factors were of significance for the risk of being sensitized, except for chromate and formaldehyde. It is concluded that patch test results can be compared only after stratification of the material or by multivariate analysis....

  18. Colon cancer trends in Norway and Denmark by socio-economic group

    DEFF Research Database (Denmark)

    Lynge, Elsebeth; Martinsen, Jan Ivar; Larsen, Inger Kristin

    2015-01-01

    in incidence by socio-economic group. METHODS: Persons participating in the 1970 censuses in Norway and Denmark were aged 55-75 years in 1971-1980 (called pre-crossing period) and in 1991-2000 (called post-crossing period), respectively. Country, sex, age and socio-economic group-specific colon cancer......AIMS: Norway has experienced an unprecedented rapid and so far unexplained increase in colon cancer incidence. Norwegian rates passed Danish rates for men in 1985 and for women in 1990. This study aimed to unravel clues to the development in colon cancer incidence by investigating changes over time...... incidence rates. Percent change in the average rate from the pre- to the post-crossing period. RESULTS: In the pre-crossing period, Norwegian male managers/administrators had the highest colon cancer incidence, but the largest increase in incidence from the pre-to the post-crossing period was seen...

  19. Investigating Male Tobacco Use and Expenditure Patterns across Socio-Economic Groups in Nigeria

    Science.gov (United States)

    Uguru, Nkoli P.; Mbachu, Chinyere; Ibe, Ogochukwu P.; Uguru, Chibuzo C.; Odukoya, Oluwakemi; Okwuosa, Chinenye; Onwujekwe, Obinna

    2015-01-01

    The magnitude of variation in economic costs of tobacco consumption among socio-economic status (SES) groups in Nigeria is unclear. Understanding the factors that influence tobacco use and expenditure among different socio-economic groups would inform decisions on interventions for tobacco control in Nigeria. Secondary data was obtained from the 2008 National demographic and health survey. Information on tobacco use and expenditure in households and individual males were extracted from the database. A total of 34,070 households and 15,846 individual males were sampled. Analysis was done using descriptive statistics and binary logistic regression analysis. Information on wealth index obtained were categorized into socio-economic quintile groups (Q1 to Q5), representing poorest to richest socio-economic groups. To estimate expenditure on cigarettes, the average cost of a stick of cigarette was obtained and multiplied with the number of sticks smoked per day. The proportion of households that use tobacco in Nigeria is 5.25% with a greater percentage (89.6%) residing in the rural areas. Prevalence of cigarette smoking in individual males is 8.59%, and the poorer SES group smoked more cigarettes (20.9%) and spent more (0.60–1.19USD) than the richest SES group. Low education level, traditional beliefs, literacy levels, SES and employment status all influence cigarette smoking in adult males. Although poor people smoked more and spent more of their income on cigarettes, other factors like educational level and traditional beliefs were found to influence practice of cigarette smoking in men. This implies that tobacco control legislation through increased taxes alone may not effectively reduce the use of tobacco and its products in Nigeria. A consolidated approach that includes behavioral change procedures, enforcing bans on tobacco advertisement and the use of strong graphic anti-tobacco messages targeted at both the poor and rich as well as the educated and uneducated

  20. Socioeconomic and Gender Group Differences in Early Literacy Skills: A Multiple-Group Confirmatory Factor Analysis Approach

    Science.gov (United States)

    Lee, Julia Ai Cheng; Al Otaiba, Stephanie

    2015-01-01

    Socioeconomic status and gender are important demographic variables that strongly relate to academic achievement. This study examined the early literacy skills differences between 4 sociodemographic groups, namely, boys ineligible for free or reduced-price lunch (FRL), girls ineligible for FRL, boys eligible for FRL, and girls eligible for FRL.…

  1. The applicability of measures of socioeconomic position to different ethnic groups within the UK

    Directory of Open Access Journals (Sweden)

    Lambert Helen

    2009-02-01

    Full Text Available Abstract Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1 Differences in response rate to conventional socioeconomic indicators 2 Cultural and social differences in economic priorities/opportunities 3 Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227, African-Caribbean (n = 213 and Indian and Pakistani (n = 233 adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research

  2. The applicability of measures of socioeconomic position to different ethnic groups within the UK.

    Science.gov (United States)

    Kelaher, Margaret; Paul, Sheila; Lambert, Helen; Ahmad, Waqar; Smith, George Davey

    2009-02-27

    In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups:1) Differences in response rate to conventional socioeconomic indicators2) Cultural and social differences in economic priorities/opportunities3) Differences in housing quality, assets and debt within socioeconomic strata The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain pound10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain pound10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of

  3. The Impact of Tobacco Control Policies on Smoking Among Socioeconomic Groups in Nine European Countries, 1990-2007.

    Science.gov (United States)

    Hu, Yannan; van Lenthe, Frank J; Platt, Stephen; Bosdriesz, Jizzo R; Lahelma, Eero; Menvielle, Gwenn; Regidor, Enrique; Santana, Paula; de Gelder, Rianne; Mackenbach, Johan P

    2017-11-07

    It is uncertain whether tobacco control policies have contributed to a narrowing or widening of socioeconomic inequalities in smoking in European countries during the past two decades. This paper aims to investigate the impact of price and non-price related population-wide tobacco control policies on smoking by socioeconomic group in nine European countries between 1990 and 2007. Individual-level education, occupation and smoking status were obtained from nationally representative surveys. Country-level price-related tobacco control policies were measured by the relative price of cheapest cigarettes and of cigarettes in the most popular price category. Country-level non-price policies were measured by a summary score covering four policy domains: smoking bans or restrictions in public places and workplaces, bans on advertising and promotion, health warning labels, and cessation services. The associations between policies and smoking were explored using logistic regressions, stratified by education and occupation, and adjusted for age, Gross Domestic Product, period and country fixed effects. The price of popular cigarettes and non-price policies were negatively associated with smoking among men. The price of the cheapest cigarettes was negatively associated with smoking among women. While these favorable effects were generally in the same direction for all socioeconomic groups, they were larger and statistically significant in lower socioeconomic groups only. Tobacco control policies as implemented in nine European countries, have probably helped to reduce the prevalence of smoking in the total population, particularly in lower socioeconomic groups. Widening inequalities in smoking may be explained by other factors. Policies with larger effects on lower socioeconomic groups are needed to reverse this trend. Socioeconomic inequalities in smoking widened between the 1990s and the 2000s in Europe. During the same period, there were intensified tobacco control policies

  4. Competing Forces of Socioeconomic Development and Environmental Degradation on Health and Happiness for Different Income Groups in China.

    Science.gov (United States)

    Gu, Lijuan; Rosenberg, Mark W; Zeng, Juxin

    2017-10-01

    China's rapid socioeconomic growth in recent years and the simultaneous increase in many forms of pollution are generating contradictory pictures of residents' well-being. This paper applies multilevel analysis to the 2013 China General Social Survey data on social development and health to understand this twofold phenomenon. Multilevel models are developed to investigate the impact of socioeconomic development and environmental degradation on self-reported health (SRH) and self-reported happiness (SRHP), differentiating among lower, middle, and higher income groups. The results of the logit multilevel analysis demonstrate that income, jobs, and education increased the likelihood of rating SRH and SRHP positively for the lower and middle groups but had little or no effect on the higher income group. Having basic health insurance had an insignificant effect on health but increased the likelihood of happiness among the lower income group. Provincial-level pollutants were associated with a higher likelihood of good health for all income groups, and community-level industrial pollutants increased the likelihood of good health for the lower and middle income groups. Measures of community-level pollution were robust predictors of the likelihood of unhappiness among the lower and middle income groups. Environmental hazards had a mediating effect on the relationship between socioeconomic development and health, and socioeconomic development strengthened the association between environmental hazards and happiness. These outcomes indicate that the complex interconnections among socioeconomic development and environmental degradation have differential effects on well-being among different income groups in China.

  5. Mass Media Campaign Improves Cervical Screening across All Socio-Economic Groups

    Science.gov (United States)

    Anderson, Jenny O.; Mullins, Robyn M.; Siahpush, Mohammad; Spittal, Matthew J.; Wakefield, Melanie

    2009-01-01

    Low socio-economic status (SES) has been associated with lower cervical screening rates. Mass media is one known strategy that can increase cervical screening participation. This study sought to determine whether a mass media campaign conducted in Victoria, Australia, in 2005 was effective in encouraging women across all SES groups to screen. Data…

  6. Predictors of success after laparoscopic gastric bypass: a multivariate analysis of socioeconomic factors.

    Science.gov (United States)

    Lutfi, R; Torquati, A; Sekhar, N; Richards, W O

    2006-06-01

    Laparoscopic gastric bypass (LGB) has proven efficacy in causing significant and durable weight loss. However, the degree of postoperative weight loss and metabolic improvement varies greatly among individuals. Our study is aimed to identify independent predictors of successful weight loss after LGB. Socioeconomic demographics were prospectively collected on patients undergoing LGB. Primary endpoint was percent of excess weight loss (EWL) at 1-year follow-up. Insufficient weight loss was defined as EWL or=52.8%. According to this definition, 147 patients (81.7%) achieved successful weight loss 1 year after LGB. On univariate analysis, preoperative BMI had a significant effect on EWL, with patients with BMI vs 61.6%; p = 0.001). Marriage status was also a significant predictor of successful outcome, with single patients achieving a higher percentage of EWL than married patients (89.8% vs 77.7%; p = 0.04). Race had a noticeable but not statistically significant effect, with Caucasian patients achieving a higher percentage of EWL than African Americans (82.9% vs 60%; p = 0.06). Marital status remained an independent predictor of success in the multivariate logistic regression model after adjusting for covariates. Married patients were at more than two times the risk of failure compared to those who were unmarried (OR 2.6; 95% CI: 1.1-6.5, p = 0.04). Weight loss achieved at 1 year after LGB is suboptimal in superobese patients. Single patients with BMI < 50 had the best chance of achieving greater weight loss.

  7. Testing Mean Differences among Groups: Multivariate and Repeated Measures Analysis with Minimal Assumptions.

    Science.gov (United States)

    Bathke, Arne C; Friedrich, Sarah; Pauly, Markus; Konietschke, Frank; Staffen, Wolfgang; Strobl, Nicolas; Höller, Yvonne

    2018-03-22

    To date, there is a lack of satisfactory inferential techniques for the analysis of multivariate data in factorial designs, when only minimal assumptions on the data can be made. Presently available methods are limited to very particular study designs or assume either multivariate normality or equal covariance matrices across groups, or they do not allow for an assessment of the interaction effects across within-subjects and between-subjects variables. We propose and methodologically validate a parametric bootstrap approach that does not suffer from any of the above limitations, and thus provides a rather general and comprehensive methodological route to inference for multivariate and repeated measures data. As an example application, we consider data from two different Alzheimer's disease (AD) examination modalities that may be used for precise and early diagnosis, namely, single-photon emission computed tomography (SPECT) and electroencephalogram (EEG). These data violate the assumptions of classical multivariate methods, and indeed classical methods would not have yielded the same conclusions with regards to some of the factors involved.

  8. Similarity between neonatal profile and socioeconomic index: a spatial approach

    Directory of Open Access Journals (Sweden)

    d'Orsi Eleonora

    2005-01-01

    Full Text Available This study aims to compare neonatal characteristics and socioeconomic conditions in Rio de Janeiro city neighborhoods in order to identify priority areas for intervention. The study design was ecological. Two databases were used: the Brazilian Population Census and the Live Birth Information System, aggregated by neighborhoods. Spatial analysis, multivariate cluster classification, and Moran's I statistics for detection of spatial clustering were used. A similarity index was created to compare socioeconomic clusters with the neonatal profile in each neighborhood. The proportions of Apgar score above 8 and cesarean sections showed positive spatial correlation and high similarity with the socioeconomic index. The proportion of low birth weight infants showed a random spatial distribution, indicating that at this scale of analysis, birth weight is not sufficiently sensitive to discriminate subtler differences among population groups. The observed relationship between the neighborhoods' neonatal profile (particularly Apgar score and mode of delivery and socioeconomic conditions shows evidence of a change in infant health profile, where the possibility for intervention shifts to medical services and the Apgar score assumes growing significance as a risk indicator.

  9. Multivariate Analysis of Schools and Educational Policy.

    Science.gov (United States)

    Kiesling, Herbert J.

    This report describes a multivariate analysis technique that approaches the problems of educational production function analysis by (1) using comparable measures of output across large experiments, (2) accounting systematically for differences in socioeconomic background, and (3) treating the school as a complete system in which different…

  10. Socioeconomic Drought in a Changing Climate: Modeling and Management

    Science.gov (United States)

    AghaKouchak, Amir; Mehran, Ali; Mazdiyasni, Omid

    2016-04-01

    Drought is typically defined based on meteorological, hydrological and land surface conditions. However, in many parts of the world, anthropogenic changes and water management practices have significantly altered local water availability. Socioeconomic drought refers to conditions whereby the available water supply cannot satisfy the human and environmental water needs. Surface water reservoirs provide resilience against local climate variability (e.g., droughts), and play a major role in regional water management. This presentation focuses on a framework for describing socioeconomic drought based on both water supply and demand information. We present a multivariate approach as a measure of socioeconomic drought, termed Multivariate Standardized Reliability and Resilience Index (MSRRI; Mehran et al., 2015). This model links the information on inflow and surface reservoir storage to water demand. MSRRI integrates a "top-down" and a "bottom-up" approach for describing socioeconomic drought. The "top-down" component describes processes that cannot be simply controlled or altered by local decision-makers and managers (e.g., precipitation, climate variability, climate change), whereas the "bottom-up" component focuses on the local resilience, and societal capacity to respond to droughts. The two components (termed, Inflow-Demand Reliability (IDR) indicator and Water Storage Resilience (WSR) indicator) are integrated using a nonparametric multivariate approach. We use this framework to assess the socioeconomic drought during the Australian Millennium Drought (1998-2010) and the 2011-2014 California Droughts. MSRRI provides additional information on socioeconomic drought onset, development and termination based on local resilience and human demand that cannot be obtained from the commonly used drought indicators. We show that MSRRI can be used for water management scenario analysis (e.g., local water availability based on different human water demands scenarios). Finally

  11. Mortality decrease according to socioeconomic groups during the economic crisis in Spain: a cohort study of 36 million people.

    Science.gov (United States)

    Regidor, Enrique; Vallejo, Fernando; Granados, José A Tapia; Viciana-Fernández, Francisco J; de la Fuente, Luis; Barrio, Gregorio

    2016-11-26

    Studies of the effect of macroeconomic fluctuations on mortality in different socioeconomic groups are scarce and have yielded mixed findings. We analyse mortality trends in Spain before and during the Great Recession in different socioeconomic groups, quantifying the change within each group. We did a nationwide prospective study, in which we took data from the 2001 Census. All people living in Spain on Nov 1, 2001, were followed up until Dec 31, 2011. We included 35 951 354 people alive in 2001 who were aged between 10 and 74 years in each one of the four calendar years before the economic crisis (from 2004 to 2007) and in each one of the first four calendar years of the crisis (from 2008 to 2011), and analysed all-cause and cause-specific mortality in those people. We classified individuals by socioeconomic status (low, medium, or high) using two indicators of household wealth: household floor space (104 m 2 ) and number of cars owned by the residents of the household (none, one, and two or more). We used Poisson regression to calculate the annual percentage reduction (APR) in mortality rates during 2004-07 (pre-crisis) and 2008-11 (crisis) in each socioeconomic group, as well as the effect size, measured by the APR difference between the pre-crisis and crisis period. The annual decline in all-cause mortality in the three socioeconomic groups was 1·7% (95% CI 1·2 to 2·1) for the low group, 1·7% (1·3 to 2·1) for the medium group, and 2·0% (1·4 to 2·5) for the high group in 2004-07, and 3·0% (2·5 to 3·5) for the low group, 2·8% (2·5 to 3·2) for the medium group, and 2·1% (1·6 to 2·7) for the high group in 2008-11 when individuals were classified by household floor space. The annual decline in all-cause mortality when people were classified by number of cars owned by the household was 0·3% (-0·1 to 0·8) for the low group, 1·6% (1·2 to 2·0) for the medium group, and 2·2% (1·6 to 2·8) for the high group in 2004-07, and 2·3% (1·8 to 2

  12. Insight into the Female Longevity Puzzle: Using Register Data to Analyse Mortality and Cause of Death Behaviour Across Socio-economic Groups

    DEFF Research Database (Denmark)

    Kallestrup-Lamb, Malene; Rosenskjold, Carsten Paysen T.

    This paper analyses the complexity of female longevity improvements. As socio-economic status influence health and mortality, we partition all individuals, at each age and year, into ten socio-economic groups based on an affluence measure. We identify the particular socio-economic groups that have...... for all subgroups, however with particular large decreases for the low-middle and middle affluence groups. We find that causes of deaths related to smoking partly contribute to the slowdown in female longevity. However the lack of improvements in deaths relating to ischemic heart diseases is dominant...

  13. Impact of County-Level Socioeconomic Status on Oropharyngeal Cancer Survival in the United States.

    Science.gov (United States)

    Megwalu, Uchechukwu C

    2017-04-01

    Objective To evaluate the impact of county-level socioeconomic status on survival in patients with oropharyngeal cancer in the United States. Study Design Retrospective cohort study via a large population-based cancer database. Methods Data were extracted from the SEER 18 database (Surveillance, Epidemiology, and End Results) of the National Cancer Institute. The study cohort included 18,791 patients diagnosed with oropharyngeal squamous cell carcinoma between 2004 and 2012. Results Patients residing in counties with a low socioeconomic status index had worse overall survival (56.5% vs 63.0%, P socioeconomic status index. On multivariable analysis, residing in a county with a low socioeconomic status index was associated with worse overall survival (hazard ratio, 1.21; 95% CI, 1.14-1.29; P status, year of diagnosis, site, American Joint Committee on Cancer stage group, presence of distant metastasis, presence of unresectable tumor, histologic grade, surgical resection of primary site, treatment with neck dissection, and radiation therapy. Conclusion Residing in a county with a low socioeconomic status index is associated with worse survival. Further research is needed to elucidate the mechanism by which socioeconomic status affects survival in oropharyngeal cancer.

  14. Does food group consumption vary by differences in socioeconomic, demographic, and lifestyle factors in young adults? The Bogalusa Heart Study.

    Science.gov (United States)

    Deshmukh-Taskar, Priya; Nicklas, Theresa A; Yang, Su-Jau; Berenson, Gerald S

    2007-02-01

    To examine if food group consumption varies by differences in socioeconomic, demographic, and lifestyle factors in young adults from a semirural setting in Louisiana. Cross-sectional. Young adults (n=1,266, 74% European American, 26% African American; 39% men, 61% women) aged 20 to 38 years, enrolled in the Bogalusa Heart Study. Food group consumption was assessed by a food frequency questionnaire. Socioeconomic (eg, income and education), demographic (eg, age, sex, and ethnicity), and lifestyle (eg, marital status and physical activity) information was obtained by a self-administered questionnaire and the subjects were stratified according to these groups. Analysis of covariance (adjusted for covariates) was used to detect differences in the mean servings of food groups consumed per day between the various socioeconomic, demographic, and lifestyle groups. Compared to income$45,000 had lower consumption of burgers/sandwiches (Pconsumption of mixed dishes (P12 years of education. European-American men consumed more servings of dairy products (Pfood group consumption varies by socioeconomic, demographic, and lifestyle factors in young adults from a semirural setting. Food and nutrition professionals who encounter diverse populations need to consider the influence of income, education, sex, ethnicity, marital status, and physical activity on food consumption patterns when planning diets, nutrition education programs, and interventions for young adults.

  15. Ethnic-group socioeconomic status as an indicator of community-level disadvantage: A study of overweight/obesity in Asian American adolescents.

    Science.gov (United States)

    Cook, Won Kim; Tseng, Winston; Tam, Christina; John, Iyanrick; Lui, Camillia

    2017-07-01

    Asian American children and adolescents are an under-investigated subpopulation in obesity research. Informed by a wide socioeconomic diversity among Asian American ethnic groups, this study explored ethnic-group socioeconomic status (SES) as an indicator of community-level disadvantage that may influence overweight/obesity in Asian American adolescents. We hypothesized that ethnic-group SES was inversely associated with overweight/obesity in Asian American adolescents. Multiple logistic regression models were fitted using a sample of 1525 Asian American adolescents ages 12-17 from pooled 2007-2012 California Health Interview Survey (CHIS) data. Age, gender, nativity, individual-level SES (income and education), and two lifestyle variables (fast food consumption and physical activity) were controlled for. We found that adolescents in high- or middle-level SES ethnic groups were far less likely to be overweight/obese than those in low-SES ethnic groups. Further, these relationships were more pronounced for foreign-born adolescents but not significant for U.S.-born adolescents. Ethnic-group SES may be a meaningful indicator of community-level socioeconomic disparities that influence the health of Asian Americans and, potentially, other populations with high proportions of immigrants of diverse socioeconomic and ethnic backgrounds. Copyright © 2017 Elsevier Ltd. All rights reserved.

  16. Using risk analysis in Health Impact Assessment: the impact of different relative risks for men and women in different socio-economic groups

    DEFF Research Database (Denmark)

    Nilunger, Louise; Diderichsen, Finn; Burström, Bo

    2004-01-01

    The aim of this study is to contribute to the emerging field of quantification of Health Impact Assessment (HIA), by analysing how different relative risks affect the burden of disease for various socio-economic groups (SES). Risk analysis, utilising attributable and impact fraction, raises several...... methodological considerations. The present study illustrates this by measuring the impact of changed distribution levels of smoking on lung cancer, ischemic heart disease (IHD), chronic obstructive lung disorder (COLD) and stroke for the highest and lowest socio-economic groups measured in disability adjusted...... the highest and lowest socio-economic groups may decrease by 75% or increase by 21% depending on the size of the relative risk. Assuming the same smoking prevalence for the lowest socio-economic group as for the highest (impact fraction), then the inequality may decrease by 7-26%. Consequently, the size...

  17. Barriers to cancer symptom presentation among people from low socioeconomic groups: a qualitative study

    Directory of Open Access Journals (Sweden)

    Grace McCutchan

    2016-10-01

    Full Text Available Abstract Background Socioeconomic inequalities in cancer survival can in part be explained by long patient intervals among people from deprived groups; however, the reasons for this are unclear. This qualitative study explores the actual and anticipated barriers to cancer symptom presentation in the context of socioeconomic deprivation. Methods Thirty participants were recruited through the International Cancer Benchmarking Partnership Welsh database (n = 20, snowball sampling (n = 8 and community partners (n = 2. Semi-structured qualitative interviews were conducted with symptomatic and asymptomatic adults over the age of 50 years, who were identified as being from a low socioeconomic group based on multiple individual and group level indicators. Transcripts were analysed using a Framework approach based on the COM-B model (Capability, Opportunity, Motivation-Behaviour. Results There was evidence of poor awareness of non-specific cancer symptoms (Capability, fearful and fatalistic beliefs about cancer (Motivation, and various barriers to accessing an appointment with the family physician (Opportunity and full disclosure of symptoms (Capability. These in combination were associated with a lengthened patient interval among participants. Social networks (Opportunity were influential on the formation of knowledge and beliefs about cancer. Participants’ behavioural and normative beliefs were usually formed and reinforced by people they knew with cancer, and such beliefs were considered to lengthen the patient interval. Discussing symptoms with a family member or friend before a visit to the family physician was the norm, and could act as a barrier or facilitator depending on the quality of advice given (Opportunity. Economic hardship meant fulfilling basic day-to-day needs such as finding money for food were prioritised over medical help seeking (Opportunity. Conclusions The complex interaction between individual characteristics and

  18. Socioeconomic Factors Associated with Post-Mastectomy Immediate Reconstruction in a Contemporary Cohort of Breast Cancer Survivors.

    Science.gov (United States)

    Schumacher, Jessica R; Taylor, Lauren J; Tucholka, Jennifer L; Poore, Samuel; Eggen, Amanda; Steiman, Jennifer; Wilke, Lee G; Greenberg, Caprice C; Neuman, Heather B

    2017-10-01

    Post-mastectomy reconstruction is a critical component of high-quality breast cancer care. Prior studies demonstrate socioeconomic disparity in receipt of reconstruction. Our objective was to evaluate trends in receipt of immediate reconstruction and examine socioeconomic factors associated with reconstruction in a contemporary cohort. Using the National Cancer Database, we identified women rates (2004-2013) for the overall cohort and stratified by socioeconomic factors were examined using Join-point regression analysis, and annual percentage change (APC) was calculated. We then restricted our sample to a contemporary cohort (2010-2013, n = 145,577). Multivariable logistic regression identified socioeconomic factors associated with immediate reconstruction. Average adjusted predicted probabilities of receiving reconstruction were calculated. Immediate reconstruction rates increased from 27 to 48%. Although absolute rates of reconstruction for each stratification group increased, similar APCs across strata led to persistent gaps in receipt of reconstruction. On multivariable logistic regression using our contemporary cohort, race, income, education, and insurance type were all strongly associated with immediate reconstruction. Patients with the lowest predicted probability of receiving reconstruction were patients with Medicaid who lived in areas with the lowest rates of high-school graduation (Black 42.4% [95% CI 40.5-44.3], White 45.7% [95% CI 43.9-47.4]). Although reconstruction rates have increased dramatically over the past decade, lower rates persist for disadvantaged patients. Understanding how socioeconomic factors influence receipt of reconstruction, and identifying modifiable factors, are critical next steps towards identifying interventions to reduce disparities in breast cancer surgical care.

  19. Socio-economic determinants of eating practices of Ukrainians

    Directory of Open Access Journals (Sweden)

    Chagarna, Natalia

    2012-07-01

    Full Text Available BACKGROUND: Healthy eating practices are among important public health goals worldwide. We aimed to investigate socio-economic determinants of the nutrition habits of Ukrainian families. METHODS: Data from the “UKRAINIAN LONGITUDINAL MONITORING SURVEY 2007” were analysed. Factor analysis produced variables characterising eating practices, which were re-coded in binary variables indicating low/high food consumption. The bivariate and multivariate analysis was conducted to identify associations between socio-economic state and eating modes. RESULTS: Three dimensions of nutrition practices were identified in the factor analysis: “standard diet” variable associated with quantities of most food products consumed, it actually shows how much food in general the household consumes, “fruit-and-vegetable diet” variable was associated with quantities of various fruits and vegetables included in the questionnaire, and “processed-(pre-packed-food diet” variable was created based on its associations with products like sausage. More “processed” food was consumed by members of households which were generally better-off (equipped with dvd-player, computer (laptop, garage, and Russian-speakers. More plant food was consumed by the households with attributes of rural living (equipped with bottled gas, central or individual system of heating, those who possessed a motorcycle or a truck. The owners of a plot adjacent to rural house or land used for gardening were eating more fruits and vegetables. A small group of well-off urban dwellers (like those possessing tumble-dryers, tend to eat more plant food; however, this group is not numerous. CONCLUSION: Plant food eating in Ukraine stays a factor of survival rather than healthy eating for those households which dwell in rural areas and have no means to choose foods they want. Those people who achieve better socio-economic status tend to increase processed food portion of their diets. Only a very

  20. Assessing where vulnerable groups fare worst: a global multilevel analysis on the impact of welfare regimes on disability across different socioeconomic groups

    NARCIS (Netherlands)

    Witvliet, Margot I.; Kunst, Anton E.; Stronks, Karien; Arah, Onyebuchi A.

    2012-01-01

    Background Investigations on health differences within welfare states between low- and high-socioeconomic groups are mainly conducted in Europe. With the aim of gaining global insight on the extent welfare regimes influence personal disability for the most vulnerable, we explore how these health

  1. The effects of socioeconomic status, clinical factors, and genetic ancestry on pulmonary tuberculosis disease in northeastern Mexico.

    Directory of Open Access Journals (Sweden)

    Bonnie N Young

    Full Text Available Diverse socioeconomic and clinical factors influence susceptibility to tuberculosis (TB disease in Mexico. The role of genetic factors, particularly those that differ between the parental groups that admixed in Mexico, is unclear. The objectives of this study are to identify the socioeconomic and clinical predictors of the transition from latent TB infection (LTBI to pulmonary TB disease in an urban population in northeastern Mexico, and to examine whether genetic ancestry plays an independent role in this transition. We recruited 97 pulmonary TB disease patients and 97 LTBI individuals from a public hospital in Monterrey, Nuevo León. Socioeconomic and clinical variables were collected from interviews and medical records, and genetic ancestry was estimated for a subset of 142 study participants from 291,917 single nucleotide polymorphisms (SNPs. We examined crude associations between the variables and TB disease status. Significant predictors from crude association tests were analyzed using multivariable logistic regression. We also compared genetic ancestry between LTBI individuals and TB disease patients at 1,314 SNPs in 273 genes from the TB biosystem in the NCBI BioSystems database. In crude association tests, 12 socioeconomic and clinical variables were associated with TB disease. Multivariable logistic regression analyses indicated that marital status, diabetes, and smoking were independently associated with TB status. Genetic ancestry was not associated with TB disease in either crude or multivariable analyses. Separate analyses showed that LTBI individuals recruited from hospital staff had significantly higher European genetic ancestry than LTBI individuals recruited from the clinics and waiting rooms. Genetic ancestry differed between individuals with LTBI and TB disease at SNPs located in two genes in the TB biosystem. These results indicate that Monterrey may be structured with respect to genetic ancestry, and that genetic

  2. The effects of socioeconomic status, clinical factors, and genetic ancestry on pulmonary tuberculosis disease in northeastern Mexico.

    Science.gov (United States)

    Young, Bonnie N; Rendón, Adrian; Rosas-Taraco, Adrian; Baker, Jack; Healy, Meghan; Gross, Jessica M; Long, Jeffrey; Burgos, Marcos; Hunley, Keith L

    2014-01-01

    Diverse socioeconomic and clinical factors influence susceptibility to tuberculosis (TB) disease in Mexico. The role of genetic factors, particularly those that differ between the parental groups that admixed in Mexico, is unclear. The objectives of this study are to identify the socioeconomic and clinical predictors of the transition from latent TB infection (LTBI) to pulmonary TB disease in an urban population in northeastern Mexico, and to examine whether genetic ancestry plays an independent role in this transition. We recruited 97 pulmonary TB disease patients and 97 LTBI individuals from a public hospital in Monterrey, Nuevo León. Socioeconomic and clinical variables were collected from interviews and medical records, and genetic ancestry was estimated for a subset of 142 study participants from 291,917 single nucleotide polymorphisms (SNPs). We examined crude associations between the variables and TB disease status. Significant predictors from crude association tests were analyzed using multivariable logistic regression. We also compared genetic ancestry between LTBI individuals and TB disease patients at 1,314 SNPs in 273 genes from the TB biosystem in the NCBI BioSystems database. In crude association tests, 12 socioeconomic and clinical variables were associated with TB disease. Multivariable logistic regression analyses indicated that marital status, diabetes, and smoking were independently associated with TB status. Genetic ancestry was not associated with TB disease in either crude or multivariable analyses. Separate analyses showed that LTBI individuals recruited from hospital staff had significantly higher European genetic ancestry than LTBI individuals recruited from the clinics and waiting rooms. Genetic ancestry differed between individuals with LTBI and TB disease at SNPs located in two genes in the TB biosystem. These results indicate that Monterrey may be structured with respect to genetic ancestry, and that genetic differences in TB

  3. Factors affecting food choices of older adults from high and low socioeconomic groups: a discrete choice experiment.

    Science.gov (United States)

    Kamphuis, Carlijn B M; de Bekker-Grob, Esther W; van Lenthe, Frank J

    2015-04-01

    Healthiness, price, and convenience are typically indicated as important motives for food choices; however, it is largely unknown to what extent older adults from high and low socioeconomic groups differ in these underlying motives. A discrete choice experiment (DCE) is an innovative way to elicit implicit motives for food choices. The aim was to investigate differences in food motives between socioeconomic groups by means of a DCE. A DCE was carried out during a face-to-face interview among older adults as part of the Health and Living Conditions in Eindhoven and surrounding cities (GLOBE) cohort study, The Netherlands. Participants (n = 399; mean age: 63.3 y) were offered a series of choice sets about a usual dinner at home and were asked to choose in each choice set between 2 meals and an opt-out choice, with different combinations of attribute levels. We included 5 meal attributes (taste, healthiness, preparation time, travel time to shops, and price) and 3 or 4 levels for each attribute. Data were analyzed by multinomial logit models. Healthiness, taste, price, and travel time to the grocery store proved to significantly influence older adults' meal decisions; preparation time was not significant. Healthiness was the most important attribute for all of the participants. More highly educated participants rated a healthy and less expensive meal to be more important than did less educated participants. Those with a high income rated a meal that was healthy and very tasteful to be more important than did those with a lower income. Healthiness, taste, price, and travel time to grocery shops influenced older adults' meal decisions. Higher socioeconomic groups valued health more than did lower socioeconomic groups. DCEs represent a promising method to gain insight into the relative importance of motives for food choices. This trial was registered at www.isrctn.com as ISRCTN60293770. © 2015 American Society for Nutrition.

  4. A MULTIVARIATE ANALYSIS OF CROATIAN COUNTIES ENTREPRENEURSHIP

    Directory of Open Access Journals (Sweden)

    Elza Jurun

    2012-12-01

    Full Text Available In the focus of this paper is a multivariate analysis of Croatian Counties entrepreneurship. Complete data base available by official statistic institutions at national and regional level is used. Modern econometric methodology starting from a comparative analysis via multiple regression to multivariate cluster analysis is carried out as well as the analysis of successful or inefficacious entrepreneurship measured by indicators of efficiency, profitability and productivity. Time horizons of the comparative analysis are in 2004 and 2010. Accelerators of socio-economic development - number of entrepreneur investors, investment in fixed assets and current assets ratio in multiple regression model are analytically filtered between twenty-six independent variables as variables of the dominant influence on GDP per capita in 2010 as dependent variable. Results of multivariate cluster analysis of twentyone Croatian Counties are interpreted also in the sense of three Croatian NUTS 2 regions according to European nomenclature of regional territorial division of Croatia.

  5. SAVINGS BEHAVIOUR IN HOUSEHOLDS OF FARMERS AS COMPARED TO OTHER SOCIO-ECONOMIC GROUPS IN POLAND

    Directory of Open Access Journals (Sweden)

    Agnieszka Kozera

    2016-12-01

    Full Text Available Savings generated by the sector of households constitute an important growth factor in every economy. They are the basic source of capital accumulation, determining investment opportunities of the economy. Financial behaviour of households in terms of the accumulation of savings is infl uenced  by numerous factors, both internal, i.e. connected directly with a given household, and external, independent of it. The aim of this paper was to analyse savings behaviour of households of farmers as compared to the other socio-economicgroups in Poland in the years 2003 and 2013. Analyses were conducted on saving propensity, savings rates, and objectives and forms of savings accumulation by households of various socio-economic groups. Analyses showed that in 2013, saving propensity and savings rates in households of farmers were relatively low in comparison to other household groups. In households of farmers the objective of savings was, more frequently than in the other socio-economic groups of households, to ensure provisions for running consumption expenditure, purchase durable goods and expand their economic activity. In contrast, in comparison to the other households, farmers less frequently saved money for recreation and physical therapy.

  6. Socioeconomic status and survival among older adults with dementia and depression.

    Science.gov (United States)

    Chen, Ruoling; Hu, Zhi; Wei, Li; Wilson, Kenneth

    2014-06-01

    People from lower socioeconomic groups have a higher risk of mortality. The impact of low socioeconomic status on survival among older adults with dementia and depression remains unclear. To investigate the association between socioeconomic status and mortality in people with dementia and late-life depression in China. Using Geriatric Mental Status - Automated Geriatric Examination for Computer Assisted Taxonomy (GMS-AGECAT) we interviewed 2978 people aged ⩾60 years in Anhui, China. We characterised baseline socioeconomic status and risk factors and diagnosed 223 people with dementia and 128 with depression. All-cause mortality was followed up over 5.6 years. Individuals with dementia living in rural areas had a three times greater risk of mortality (multivariate adjusted hazard ratio (HR) = 2.96, 95% CI 1.45-6.04) than those in urban areas, and for those with depression the HR was 4.15 (95% CI 1.59-10.83). There were similar mortality rates when comparing people with dementia with low v. high levels of education, occupation and income, but individuals with depression with low v. high levels had non-significant increases in mortality of 11%, 50% and 55% respectively Older adults with dementia and depression living in rural China had a significantly higher risk of mortality than urban counterparts. Interventions should be implemented in rural areas to tackle survival inequality in dementia and depression. Royal College of Psychiatrists.

  7. Use of proxy measures in estimating socioeconomic inequalities in malaria prevalence.

    Science.gov (United States)

    Somi, Masha F; Butler, James R; Vahid, Farshid; Njau, Joseph D; Kachur, S P; Abdulla, Salim

    2008-03-01

    To present and compare socioeconomic status (SES) rankings of households using consumption and an asset-based index as two alternative measures of SES; and to compare and evaluate the performance of these two measures in multivariate analyses of the socioeconomic gradient in malaria prevalence. Data for the study come from a survey of 557 households in 25 study villages in Tanzania in 2004. Household SES was determined using consumption and an asset-based index calculated using Principal Components Analysis on a set of household variables. In multivariate analyses of malaria prevalence, we also used two other measures of disease prevalence: parasitaemia and self-report of malaria or fever in the 2 weeks before interview. Household rankings based on the two measures of SES differ substantially. In multivariate analyses, there was a statistically significant negative association between both measures of SES and parasitaemia but not between either measure of SES and self-reported malaria. Age of individual, use of a mosquito net, and wall construction were negatively and significantly associated with parasitaemia, whilst roof construction was positively associated with parasitaemia. Only age remained significant when malaria self-report was used as the measure of disease prevalence. An asset index is an effective alternative to consumption in measuring the socioeconomic gradient in malaria parasitaemia, but self-report may be an unreliable measure of malaria prevalence for this purpose.

  8. Impact of socioeconomic status on survival of colorectal cancer patients.

    Science.gov (United States)

    Zhang, Qian; Wang, Yufu; Hu, Hanqing; Huang, Rui; Xie, Lei; Liu, Enrui; Chen, Ying-Gang; Wang, Guiyu; Wang, Xishan

    2017-12-01

    Socioeconomic status (SES) has an impact on the survival of various cancers, but it has not been fully understood in colorectal cancer (CRC). The Surveillance, Epidemiology and End Results database was adopted to detect the role of SES in the survival outcomes of CRC. A total of 184,322 eligible patients were included and SES status was analyzed. The multivariable analysis showed that Non-Hispanic Black (HR, 1.20; 95% CI, 1.15-1.24), being widowed (HR, 1.04; 95% CI, 1.01-1.07), any Medicaid (HR, 1.36; 95% CI, 1.33-1.39) and the lowest education level group patients had relative poorer prognosis. Besides, sex, tumor location, age, differentiation level and American Joint Committee on Cancer stage also had significant effects on overall survival of CRC. The individuals were further divided into five groups according to the number of survival-adverse factors. All of the four groups containing adverse factors showed impaired survival outcomes compared with the group containing no adverse factor.

  9. Socioeconomic Status As a Risk Factor for Unintended Pregnancy in the Contraceptive CHOICE Project.

    Science.gov (United States)

    Iseyemi, Abigail; Zhao, Qiuhong; McNicholas, Colleen; Peipert, Jeffrey F

    2017-09-01

    To evaluate the association of low socioeconomic status as an independent risk factor for unintended pregnancy. We performed a secondary analysis of data from the Contraceptive CHOICE project. Between 2007 and 2011, 9,256 participants were recruited and followed for up to 3 years. The primary outcome of interest was unintended pregnancy; the primary exposure variable was low socioeconomic status, defined as self-report of either receiving public assistance or having difficulty paying for basic necessities. Four contraceptive groups were evaluated: 1) long-acting reversible contraceptive method (hormonal or copper intrauterine device or subdermal implant); 2) depot medroxyprogesterone acetate injection; 3) oral contraceptive pills, a transdermal patch, or a vaginal ring; or 4) other or no method. Confounders were adjusted for in the multivariable Cox proportional hazard model to estimate the effect of socioeconomic status on risk of unintended pregnancy. Participants with low socioeconomic status experienced 515 unintended pregnancies during 14,001 women-years of follow-up (3.68/100 women-years; 95% CI 3.37-4.01) compared with 200 unintended pregnancies during 10,296 women-years (1.94/100 women-years; 95% CI 1.68-2.23) among participants without low socioeconomic status. Women with low socioeconomic status were more likely to have an unintended pregnancy (unadjusted hazard ratio [HR] 1.8, 95% CI 1.5-2.2). After adjusting for age, education level, insurance status, and history of unintended pregnancy, low socioeconomic status was associated with an increased risk of unintended pregnancy (adjusted HR 1.4, 95% CI 1.1-1.7). Despite the removal of cost barriers, low socioeconomic status is associated with a higher incidence of unintended pregnancy.

  10. Socio-economic status, risk factors and coronary heart disease ...

    African Journals Online (AJOL)

    The relationship of socio-economic status (SES) indicators and coronary risk factors (RFs) with coronary heart disease (CHD) prevalence was examined in 5620 subjects aged 20 ... The SES indicators had Iitlle or no independent effect on CHD prevalence in multivariate logistic analyses after, inclusion of the standard RFs.

  11. Persistent problems of access to appropriate, affordable TB services in rural China: experiences of different socio-economic groups.

    Science.gov (United States)

    Zhang, Tuohong; Tang, Shenglan; Jun, Gao; Whitehead, Margaret

    2007-02-08

    Large-scale Tuberculosis (TB) control programmes in China have been hailed a success. Concerns remain, however, about whether the programme is reaching all sections of the population, particularly poorer groups within rural communities, and whether there are hidden costs. This study takes a household perspective to investigate receipt of appropriate care and affordability of services for different socio-economic groups with TB symptoms in rural China. Secondary analysis of Chinese National Household Health Survey for 2003: 40,000 rural households containing 143,991 individuals, 2,308 identified as TB suspects. use of services and expenditure of TB suspects, by gender and socio-economic position, indicated by household income, education, material assets, and insurance status. 37% of TB suspects did not seek any professional care, with low-income groups less likely to seek care than more affluent counterparts. Of those seeking care, only 35% received any of the recommended diagnostic tests. Of the 182 patients with a confirmed TB diagnosis, 104 (57%) received treatment at the recommended level, less likely if lacking health insurance or material assets. The burden of payment for services amounted to 45% of annual household income for the low-income group, 16% for the high-income group. Access to appropriate, affordable TB services is still problematic in some rural areas of China, and receipt of care and affordability declines with declining socio-economic position. These findings highlight the current shortcomings of the national TB control programme in China and the formidable challenge it faces if it is to reach all sections of the population, including the poor with the highest burden of disease.

  12. Sex-specific role of education on the associations of socioeconomic status indicators with obesity risk: A population-based study in South Korea.

    Science.gov (United States)

    Chung, Woojin; Kim, Jaeyeun; Lim, Seung-Ji; Lee, Sunmi

    2018-01-01

    No study of obesity risk for people in developed countries has conducted a multi-dimensional analysis of the association of socioeconomic status with obesity. In this paper, we investigated if education functions as either a confounder or an effect modifier in the association of another socioeconomic status indicator with obesity. This cross-sectional study analyzed data of an adult population sample (10,905 men and 14,580 women) from the Korea National Health and Nutrition Examination Survey (2010-2014). The study performed multivariate logistic regression analyses for three education levels and four indicators of socioeconomic status (i.e., marital status, residential area, occupation, and income). The overall prevalence of obesity was 38.1% in men and 29.1% in women (p status and obesity (p for interaction = 0.006), it functioned as both a confounder (p socioeconomic indicator groups in men; for example, in a rural resident group, a higher level of education increased the probability of being obese by 19.7%. The present study suggests the need to examine sex-specific studies regarding the role of education on the association between other socioeconomic status indicators and obesity. This should be considered in planning education policies to reduce the risk of obesity.

  13. Impact of socioeconomic status on municipal solid waste generation rate.

    Science.gov (United States)

    Khan, D; Kumar, A; Samadder, S R

    2016-03-01

    The solid waste generation rate was expected to vary in different socioeconomic groups due to many environmental and social factors. This paper reports the assessment of solid waste generation based on different socioeconomic parameters like education, occupation, income of the family, number of family members etc. A questionnaire survey was conducted in the study area to identify the different socioeconomic groups that may affect the solid waste generation rate and composition. The average waste generated in the municipality is 0.41 kg/capita/day in which the maximum waste was found to be generated by lower middle socioeconomic group (LMSEG) with average waste generation of 0.46 kg/capita/day. Waste characterization indicated that there was no much difference in the composition of wastes among different socioeconomic groups except ash residue and plastic. Ash residue is found to increase as we move lower down the socioeconomic groups with maximum (31%) in lower socioeconomic group (LSEG). The study area is a coal based city hence application of coal and wood as fuel for cooking in the lower socioeconomic group is the reason for high amount of ash content. Plastic waste is maximum (15%) in higher socioeconomic group (HSEG) and minimum (1%) in LSEG. Food waste is a major component of generated waste in almost every socioeconomic group with maximum (38%) in case of HSEG and minimum (28%) in LSEG. This study provides new insights on the role of various socioeconomic parameters on generation of household wastes. Copyright © 2016 Elsevier Ltd. All rights reserved.

  14. Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.

    Science.gov (United States)

    Linn, Kristin A; Gaonkar, Bilwaj; Satterthwaite, Theodore D; Doshi, Jimit; Davatzikos, Christos; Shinohara, Russell T

    2016-05-15

    Normalization of feature vector values is a common practice in machine learning. Generally, each feature value is standardized to the unit hypercube or by normalizing to zero mean and unit variance. Classification decisions based on support vector machines (SVMs) or by other methods are sensitive to the specific normalization used on the features. In the context of multivariate pattern analysis using neuroimaging data, standardization effectively up- and down-weights features based on their individual variability. Since the standard approach uses the entire data set to guide the normalization, it utilizes the total variability of these features. This total variation is inevitably dependent on the amount of marginal separation between groups. Thus, such a normalization may attenuate the separability of the data in high dimensional space. In this work we propose an alternate approach that uses an estimate of the control-group standard deviation to normalize features before training. We study our proposed approach in the context of group classification using structural MRI data. We show that control-based normalization leads to better reproducibility of estimated multivariate disease patterns and improves the classifier performance in many cases. Copyright © 2016 Elsevier Inc. All rights reserved.

  15. Sub-optimal birth weight in newborns of a high socioeconomic status population

    Directory of Open Access Journals (Sweden)

    Conceição Aparecida de Mattos Segre

    2008-09-01

    Full Text Available Objective: To compare sub-optimal birth weight (2,500 to 2,999 g term newborns to appropriate for gestational age (birth weight ≥ 3,000 g term newborns, regarding maternal data and newborn morbidity and mortality. Methods: Single term newborns, appropriate for gestational age from a high socioeconomic population (n = 1,242 with birth weight ranging from 2,500 to 2,999 g (Group I were compared to 4,907 newborns with birth weight ≥ than 3,000 g (Group II. Maternal and newborn characteristics were compared between the groups. The Mann-Whitney test, χ2 test and multivariate analysis were used. The significance level adopted was p < 0.05. Rresults: The frequency of sub-optimal birth weight newborns in the population studied was 20.2%. There was a significant association between sub-optimal birth weight and maternal weight before pregnancy and body mass index, maternal weight gain, height, smoking habit and hypertension. Newborns’ 1-minute Apgar score, neonatal hypoglycemia, jaundice, transient tachypnea, congenital pneumonia and hospital stay were significantly different between the groups (p < 0.05. A significant relationship could not be established with the 5-minute Apgar score and pulmonary hypertension in both groups. Neonatal mortality did not differ between the groups. Cconclusions: Socioeconomic status was not a risk factor for sub-optimal birth weight in the studied population. Genetic and environmental factors were associated to sub-optimal weight and neonatal diseases. According to these data, this group of newborns should receive special attention from the health team.

  16. Socioeconomic inequality in hypertension in Iran.

    Science.gov (United States)

    Fateh, Mansooreh; Emamian, Mohammad Hassan; Asgari, Fereshteh; Alami, Ali; Fotouhi, Akbar

    2014-09-01

    Hypertension covers a large portion of burden of diseases, especially in the developing countries. The unequal distribution of hypertension in the population may affect 'health for all' goal. This study aimed to investigate the socioeconomic inequality of hypertension in Iran and to identify its influencing factors. We used data from Iran's surveillance system for risk factors of noncommunicable diseases which was conducted on 89 400 individuals aged 15-64 years in 2005. To determine the socioeconomic status of participants, a new variable was created using a principal component analysis. We examined hypertension at different levels of this new variable and calculated slop index of inequality (SII) and concentration index (C) for hypertension. We then applied Oaxaca-Blinder decomposition analysis to determine the causes of inequality. The SII and C for hypertension were -32.3 and -0.170, respectively. The concentration indices varied widely between different provinces in Iran and was lower (more unequal) in women than in men. There was significant socioeconomic inequality in hypertension. The results of decomposition indicated that 40.5% of the low-socioeconomic group (n = 18190) and 16.4% of the high-socioeconomic group (n = 16335) had hypertension. Age, education level, sex and residency location were the main associated factors of the difference among groups. According to our results, there was an inequality in hypertension in Iran, so that individuals with low socioeconomic status had a higher prevalence of hypertension. Age was the most contributed factor in this inequality and women in low-socioeconomic group were the most vulnerable people for hypertension.

  17. Examining the Association Between Different Aspects of Socioeconomic Status, Race, and Disability in Hawaii.

    Science.gov (United States)

    Seto, Jason; Davis, James; Taira, Deborah Ann

    2018-02-20

    Socioeconomic status and race/ethnicity are known to be associated with health disparities. This study used data (2010-2014) from the American Community Survey. Respondents over age 30 from Hawaii were included (n = 44,921). Outcome variables were self-reported disability in vision, hearing, ambulatory function, self-care, independent living, or cognitive function. Four measures of socioeconomic status were personal income, average income for the area, income inequality for area, and education. This study used multivariable logistic regression to predict disability by race/ethnicity and socioeconomic status, controlling for age and gender. All four measures of socioeconomic status were significant predictors of at least one type of disability after adjustment for age, gender, and other measures of socioeconomic status. Higher education was significantly related to having every type of disability. Similarly, people with high personal income were less likely to have each type of disability than those with middle income, and those with low income were more likely to have all disabilities except hearing. Income inequality was significantly associated with half the disabilities. Low area income was significantly associated with increased vision-related disability, while high income was associated with less likelihood of hearing-related disability. Native Hawaiians were significantly more likely to report having a disability than Filipinos and Chinese for all six types of disability, Japanese for four, and whites for two, after adjustment. These results suggest that in order to reduce health disparities for Native Hawaiians, as well as other ethnic groups, a range of socioeconomic factors need to be addressed.

  18. The Perceived Socioeconomic Status Is an Important Factor of Health Recovery for Victims of Occupational Accidents in Korea.

    Science.gov (United States)

    Seok, Hongdeok; Yoon, Jin-Ha; Lee, Wanhyung; Lee, June-Hee; Jung, Pil Kyun; Roh, Jaehoon; Won, Jong-Uk

    2016-02-01

    We aimed to examine whether there is a correlation between the health recovery of industrial accident victims and their perceived socioeconomic status. Data were obtained from the first Panel Study of Worker's Compensation Insurance, which included 2,000 participants. We performed multivariate regression analysis and determined the odds ratios for participants with a subjectively lower socioeconomic status and for those with a subjectively lower middle socioeconomic status using 95% confidence intervals. An additional multivariate regression analysis yielded the odds ratios for participants with a subjectively lower socioeconomic status and those with a subjectively upper middle socioeconomic class using 95% confidence intervals. Of all participants, 299 reported a full recovery, whereas 1,701 did not. We examined the odds ratio (95% confidence intervals) for participants' health recovery according to their subjective socioeconomic status while controlling for sex, age, education, tobacco use, alcohol use, subjective state of health prior to the accident, chronic disease, employment duration, recovery period, accident type, disability status, disability rating, and economic participation. The odds of recovery in participants with a subjectively lower middle socioeconomic status were 1.707 times greater (1.264-2.305) than that of those with a subjectively lower socioeconomic status. Similarly, the odds of recovery in participants with a subjectively upper middle socioeconomic status were 3.124 times greater (1.795-5.438) than that of those with a subjectively lower socioeconomic status. Our findings indicate that participants' perceived socioeconomic disparities extend to disparities in their health status. The reinforcement of welfare measures is greatly needed to temper these disparities.

  19. Maternal smoking during pregnancy and socioeconomic factors as predictors of low birth weight in term pregnancies in Niš

    Directory of Open Access Journals (Sweden)

    Stojanović Miodrag

    2010-01-01

    Full Text Available Background/Aim. Low birth weight (LBW is a result of preterm birth or intrauterine growth retardation, and in both cases is the strongest single factor associated with perinatal and neonatal mortality. It is considered that socioeconomic factors, as well as mothers bad habits, play the most significant role in the development of LBW, which explains notable number of researches focused on this particular problem. The aim of this study was to characterize socioeconomic factors, as well as smoking habits of the mothers, and their connection with LBW. Methods. The questionnaire was carried out among mothers of 2 years old children (n = 956, born after 37 gestational weeks. The characteristics of mothers who had children with LBW, defined as < 2 500 g, (n = 50, were matched with the characteristics of mothers who had children ≥ 2 500 g, (n = 906. For defining risk factors, and protective factors as well, we used univariant and multivariant logistic modeles. Results. As significant risk factors for LBW in an univariant model we had education level of the mothers, smoking during pregnancy, smoking before pregnancy, the number of daily cigarettes, the number of cigarettes used during pregnancy, paternal earnings and socioeconomic factors. In a multivariant model the most significant factors were socioeconomic factors, education level of the mothers, paternal earnings and mothers smoking during pregnancy. Conclusion. Smoking during pregnancy and socioeconomic factors have great influence on LBW. Future studies should be carried out in different social groups, with the intention to define their influence on LBW and reproduction, as well. This should be the proper way of adequate health breeding planning for giving up smoking, the prevention of bad habits and melioration of mothers and children health, as the most vulnerable population.

  20. Socio-economic Correlates of Malnutrition among Married Women in Bangladesh.

    Science.gov (United States)

    Mostafa Kamal, S M; Md Aynul, Islam

    2010-12-01

    This paper examines the prevalence and socio-economic correlates of malnutrition among ever married non-pregnant women of reproductive age of Bangladesh using a nationally representative weighted sample of 10,145. Body mass index was used to measure nutritional status. Both bivariate and multivariate statistical analyses were employed to assess the relationship between socio-economic characteristics and women's nutritional status. Overall, 28.5% of the women were found to be underweight. The fixed effect multivariate binary logistic regression analysis yielded significantly increased risk of underweight for the young, currently working, non-Muslim, rural residents, widowed, divorced or separated women. Significant wide variations of malnourishment prevailed in the administrative regions of the country. Wealth index and women's education were the most important determinants of underweight. The multivariate logistic regression analysis revealed that the risk of being underweight was almost seven times higher (OR=6.76, 95% CI=5.20-8.80) among women with no formal education as compared to those with higher education and the likelihood of underweight was significantly (pPoverty alleviation programmes should be strengthened targeting the poor. Effective policies, information and health education programmes for women are required to ensure adequate access to health services and for them to understand the components of a healthy diet.

  1. Prevalence of fibromyalgia in a low socioeconomic status population

    Directory of Open Access Journals (Sweden)

    Pereira Carlos AB

    2009-06-01

    Full Text Available Abstract Background The aim of this study was to estimate the prevalence of fibromyalgia, as well as to assess the major symptoms of this syndrome in an adult, low socioeconomic status population assisted by the primary health care system in a city in Brazil. Methods We cross-sectionally sampled individuals assisted by the public primary health care system (n = 768, 35–60 years old. Participants were interviewed by phone and screened about pain. They were then invited to be clinically assessed (304 accepted. Pain was estimated using a Visual Analogue Scale (VAS. Fibromyalgia was assessed using the Fibromyalgia Impact Questionnaire (FIQ, as well as screening for tender points using dolorimetry. Statistical analyses included Bayesian Statistics and the Kruskal-Wallis Anova test (significance level = 5%. Results From the phone-interview screening, we divided participants (n = 768 in three groups: No Pain (NP (n = 185; Regional Pain (RP (n = 388 and Widespread Pain (WP (n = 106. Among those participating in the clinical assessments, (304 subjects, the prevalence of fibromyalgia was 4.4% (95% confidence interval [2.6%; 6.3%]. Symptoms of pain (VAS and FIQ, feeling well, job ability, fatigue, morning tiredness, stiffness, anxiety and depression were statically different among the groups. In multivariate analyses we found that individuals with FM and WP had significantly higher impairment than those with RP and NP. FM and WP were similarly disabling. Similarly, RP was no significantly different than NP. Conclusion Fibromyalgia is prevalent in the low socioeconomic status population assisted by the public primary health care system. Prevalence was similar to other studies (4.4% in a more diverse socioeconomic population. Individuals with FM and WP have significant impact in their well being.

  2. Food and families' socioeconomic status.

    Science.gov (United States)

    Kinsey, J D

    1994-09-01

    This paper explores the relationship between food expenditures and consumption patterns and families' socioeconomic status in the United States. Three themes follow through the paper. One is that as income rises over time and across socioeconomic groups, a smaller percent of that income is spent of food. Simultaneously, a larger percent of the food dollar buys services and food preparation moves farther away from the home. Second, characteristics of people like age and ethnicity contribute to diversity in food consumption but labor force participation by women has led the trend in away-from-home-food preparation. New scientific information and technology have changed attitudes about nutrition and food safety and their linkages to health. Finally, the continuous introduction of affordable new foods into the diet and culture of families in all socioeconomic groups has been a quiet evolution. Trying to differentiate socioeconomic groups in the United States by their food and nutritional status is almost a nonstory except for fascinating intragroup diversities that change rapidly in the postmodern society.

  3. The impact of menu energy labelling across socioeconomic groups: A systematic review.

    Science.gov (United States)

    Sarink, Danja; Peeters, Anna; Freak-Poli, Rosanne; Beauchamp, Alison; Woods, Julie; Ball, Kylie; Backholer, Kathryn

    2016-04-01

    Menu energy labelling at point of purchase is gaining traction worldwide, yet the potential impact for different socioeconomic groups is unclear. We aimed to summarise evidence on the effectiveness of menu energy labelling by socioeconomic position (SEP). A systematic search for papers published to September 2015 was conducted using terms for labelling, food outlets, and SEP. Quality of studies was assessed. Results were summarised across stages of an intervention logic pathway. Eighteen papers were identified. Of twelve studies reporting the effect of menu energy labelling in low SEP populations, six reported on purchase outcomes. All but one of these reported no positive effect of the policy for this population. Two of the five studies that compared purchase outcomes of menu labelling across SEP groups reported that the policy was effective overall. These two studies reported either a significant decline in fast food calories purchased from consumers in high (but not low) SEP neighbourhoods or a significantly greater decline in calories purchased among consumers visiting stores in higher SEP neighbourhoods post policy implementation. None of the included papers reached the highest quality score. The current evidence describing the impact of menu energy labelling within or across SEP is limited in quantity and quality. Of the two studies that reported a positive benefit of menu energy labelling overall, both identified a greater effect on fast food purchases among consumers visiting stores in high compared to low SEP neighbourhoods. It is difficult to know whether the absence of effectiveness reported in low SEP populations represents a true lack of effectiveness or is a result of a more general lack of policy effectiveness or the limited quality of the reviewed studies. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. Regional Information Group (RIG). Energy, environmental, and socioeconomic data bases and associated software at Oak Ridge National Laboratory

    Energy Technology Data Exchange (ETDEWEB)

    Loebl, A.S.; Malthouse, N.S.; Shonka, D.B.; Ogle, M.C.; Johnson, M.L.

    1976-10-01

    A machine readable data base has been created by the Regional Information Group, Regional and Urban Studies Section, Energy Division, Oak Ridge National Laboratory, to provide documentation for the energy, environmental, and socioeconomic data bases and associated software maintained at Oak Ridge National Laboratory. This document is produced yearly by the Regional Information Group to describe the contents and organization of this data base.

  5. Regional Information Group (RIG). Energy, environmental, and socioeconomic data bases and associated software at Oak Ridge National Laboratory

    International Nuclear Information System (INIS)

    Loebl, A.S.; Malthouse, N.S.; Shonka, D.B.; Ogle, M.C.; Johnson, M.L.

    1976-10-01

    A machine readable data base has been created by the Regional Information Group, Regional and Urban Studies Section, Energy Division, Oak Ridge National Laboratory, to provide documentation for the energy, environmental, and socioeconomic data bases and associated software maintained at Oak Ridge National Laboratory. This document is produced yearly by the Regional Information Group to describe the contents and organization of this data base

  6. Multivariate analysis: models and method

    International Nuclear Information System (INIS)

    Sanz Perucha, J.

    1990-01-01

    Data treatment techniques are increasingly used since computer methods result of wider access. Multivariate analysis consists of a group of statistic methods that are applied to study objects or samples characterized by multiple values. A final goal is decision making. The paper describes the models and methods of multivariate analysis

  7. The impact of smoke-free legislation on reducing exposure to secondhand smoke: differences across gender and socioeconomic groups.

    Science.gov (United States)

    Tsai, Yi-Wen; Chang, Li-Chuan; Sung, Hai-Yen; Hu, Teh-Wei; Chiou, Shu-Ti

    2015-01-01

    On 11 January 2009, Taiwan expanded its smoke-free legislation to all indoor public places and workplaces. This study examined the impact of this policy on secondhand smoke (SHS) exposure in adult non-smokers, across gender and socioeconomic status groups (SES). An annual sample of about 13,000-14,000 non-smokers was drawn from cross-sectional nationwide data of Taiwan Adult Tobacco Behavior Surveys during 2005-2011. Logistic regressions were used to analyse the aggregate data to estimate the association between the 2009 smoke-free legislation and SHS exposures in homes and workplaces. Interaction terms were used to examine the impact of the 2009 smoke-free policy on reducing differences in SHS exposure across gender, education and income groups. The 2009 policy reduced the odds of SHS exposure in homes in 2009 (OR=0.76, 95% CI 0.68 to 0.84) and in workplaces (year 2009: OR=0.49, 95% CI 0.39 to 0.62; year 2010: OR=0.79, 95% CI 0.66 to 0.95). The model with interaction terms showed that men were more likely than women to be exposed to workplace SHS (OR=2.02, 95% CI 1.80 to 2.27) but were less likely to be exposed to home SHS (OR=0.79, 95% CI 0.73 to 0.86). SHS exposure in homes was significantly related to lower socioeconomic status, but the 2009 smoke-free policy reduced the difference in SHS exposure across education levels. The 2009 smoke-free policy reduced the SHS exposure for non-smokers. However, this impact on home SHS did not persist after 2009, and the effect of protection was unequal across gender and SES groups. Thus, further enforcement of smoking restrictions would be needed to reduce the risk of SHS exposure and improve protection against SHS risk among parts of the population with lower socioeconomic status. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  8. Socioeconomic differences in health expectancy in Denmark

    DEFF Research Database (Denmark)

    Brønnum-Hansen, Henrik

    2000-01-01

    Social differences in mortality rates reported in Denmark gave rise to the present study of health expectancy in different socioeconomic groups.......Social differences in mortality rates reported in Denmark gave rise to the present study of health expectancy in different socioeconomic groups....

  9. Data Mining Relationships Among Urban Socioeconomic, Land Cover, and Remotely Sensed Ecological Data

    Science.gov (United States)

    Mennis, J.; Wessman, C.; Golubiewski, N.

    2003-12-01

    This research investigates the relationships among socioeconomic character, land cover, and ecological function in a rapidly urbanizing region, the Front Range of Colorado. We use novel spatial geographic information systems- (GIS-) based data integration and data mining techniques to integrate and analyze diverse spatial data sets. These data include elevation data, transportation data, land cover data derived from aerial photography, block group-level U.S. Census data, and vegetation greenness (NDVI) data derived from Landsat imagery. These data are used to derive a variety of U.S. block group-level variables indicating demographic, geographic, ecological, and land cover characteristics. We employ spatial association rule mining, decision tree induction, and spatial on-line analytical processing (OLAP), in addition to more conventional multivariate statistical techniques, to investigate relationships among these variables.

  10. Depressive symptoms in middle-aged women are more strongly associated with physical health and social support than with socioeconomic factors

    DEFF Research Database (Denmark)

    Aro, A R; Nyberg, N; Absetz, P

    2001-01-01

    The association of socioeconomic factors, health-related factors, and social support with depressive symptoms has been extensively studied. However, most epidemiological studies have focused on a few factors such as marital status, social class, and employment. In this study of middle-aged women we...... analyzed both univariate and multivariate associations of socioeconomic factors, perceived physical health factors, and social support with self-rated depressive symptoms measured with the Beck Depression Inventory. A nationwide sample (n = 1851) of Finnish women aged 48-50 years was analyzed....... Socioeconomic, health-related, and social support factors were all measured with single items. All variables, except level of urbanization, were significantly associated with depressive symptoms in univariate analyses. Multivariate associations were examined with standard multiple regression analyses in three...

  11. Targeting energy justice: Exploring spatial, racial/ethnic and socioeconomic disparities in urban residential heating energy efficiency

    International Nuclear Information System (INIS)

    Reames, Tony Gerard

    2016-01-01

    Fuel poverty, the inability of households to afford adequate energy services, such as heating, is a major energy justice concern. Increasing residential energy efficiency is a strategic fuel poverty intervention. However, the absence of easily accessible household energy data impedes effective targeting of energy efficiency programs. This paper uses publicly available data, bottom-up modeling and small-area estimation techniques to predict the mean census block group residential heating energy use intensity (EUI), an energy efficiency proxy, in Kansas City, Missouri. Results mapped using geographic information systems (GIS) and statistical analysis, show disparities in the relationship between heating EUI and spatial, racial/ethnic, and socioeconomic block group characteristics. Block groups with lower median incomes, a greater percentage of households below poverty, a greater percentage of racial/ethnic minority headed-households, and a larger percentage of adults with less than a high school education were, on average, less energy efficient (higher EUIs). Results also imply that racial segregation, which continues to influence urban housing choices, exposes Black and Hispanic households to increased fuel poverty vulnerability. Lastly, the spatial concentration and demographics of vulnerable block groups suggest proactive, area- and community-based targeting of energy efficiency assistance programs may be more effective than existing self-referral approaches. - Highlights: • Develops statistical model to predict block group (BG) residential heating energy use intensity (EUI), an energy efficiency proxy. • Bivariate and multivariate analyses explore racial/ethnic and socioeconomic relationships with heating EUI. • BGs with more racial/ethnic minority households had higher heating EUI. • BGs with lower socioeconomics had higher heating EUI. • Mapping heating EUI can facilitate effective energy efficiency intervention targeting.

  12. Environmental Performance in Countries Worldwide: Determinant Factors and Multivariate Analysis

    Directory of Open Access Journals (Sweden)

    Isabel Gallego-Alvarez

    2014-11-01

    Full Text Available The aim of this study is to analyze the environmental performance of countries and the variables that can influence it. At the same time, we performed a multivariate analysis using the HJ-biplot, an exploratory method that looks for hidden patterns in the data, obtained from the usual singular value decomposition (SVD of the data matrix, to contextualize the countries grouped by geographical areas and the variables relating to environmental indicators included in the environmental performance index. The sample used comprises 149 countries of different geographic areas. The findings obtained from the empirical analysis emphasize that socioeconomic factors, such as economic wealth and education, as well as institutional factors represented by the style of public administration, in particular control of corruption, are determinant factors of environmental performance in the countries analyzed. In contrast, no effect on environmental performance was found for factors relating to the internal characteristics of a country or political factors.

  13. Study of living kidney donor-recipient relationships: variation with socioeconomic deprivation in the white population of England.

    Science.gov (United States)

    Bailey, Phillippa K; Tomson, Charles Rv; Ben-Shlomo, Yoav

    2013-01-01

    Socioeconomic deprivation is associated with higher renal replacement therapy acceptance rates in the UK but lower rates of living kidney transplantation. This study examines donor-recipient relationship patterns with socioeconomic deprivation in the white population of England. Demographic characteristics of all white live renal transplant donors and recipients between 2001 and 2010 in England were analyzed. Patterns of donor-recipient relationship were analyzed to see whether they differed according to an ecological measure of socioeconomic status (Index of Multiple Deprivation). Group comparisons were performed using chi-square tests and multivariable logistic regression. Sources of living kidney transplants differed with deprivation (p Recipients living in poorer areas were more likely to receive a kidney from a sibling, child, and "other relative" donor and less likely from spouses/partners. Logistic regression suggested differences seen with spouse/partner donations with deprivation were explained by differences in the age and gender of the recipients. The source of living kidneys differs by level of area deprivation. Given the disparity in rates of living kidney transplants between the most and least socioeconomically deprived, there is a need to understand the reasons behind these observed relationship differences, with the aim of increasing transplantation rates in the most deprived. © 2013 John Wiley & Sons A/S.

  14. The DISC (Diabetes in Social Context) Study-evaluation of a culturally sensitive social network intervention for diabetic patients in lower socioeconomic groups: a study protocol.

    Science.gov (United States)

    Vissenberg, Charlotte; Nierkens, Vera; Uitewaal, Paul J M; Geraci, Diana; Middelkoop, Barend J C; Nijpels, Giel; Stronks, Karien

    2012-03-19

    Compared to those in higher socioeconomic groups, diabetic patients in lower socioeconomic groups have less favourable metabolic control and experience more diabetes-related complications. They encounter specific barriers that hinder optimal diabetes self-management, including a lack of social support and other psychosocial mechanisms in their immediate social environments. Powerful Together with Diabetes is a culturally sensitive social network intervention specifically targeted to ethnic Dutch, Moroccan, Turkish, and Surinamese diabetic patients in lower socioeconomic groups. For ten months, patients will participate in peer support groups in which they will share experiences, support each other in maintaining healthy lifestyles, and learn skills to resist social pressure. At the same time, their significant others will also receive an intervention, aimed at maximizing support for and minimizing the negative social influences on diabetes self-management. This study aims to test the effectiveness of Powerful Together with Diabetes. We will use a quasi-experimental design with an intervention group (Group 1) and two comparison groups (Groups 2 and 3), N = 128 in each group. Group 1 will receive Powerful Together with Diabetes. Group 2 will receive Know your Sugar, a six-week group intervention that does not focus on the participants' social environments. Group 3 receives standard care only. Participants in Groups 1 and 2 will be interviewed and physically examined at baseline, 3, 10, and 16 months. We will compare their haemoglobin A1C levels with the haemoglobin A1C levels of Group 3. Main outcome measures are haemoglobin A1C, diabetes-related quality of life, diabetes self-management, health-related, and intermediate outcome measures. We will conduct a process evaluation and a qualitative study to gain more insights into the intervention fidelity, feasibility, and changes in the psychosocial mechanism in the participants' immediate social environments. With this

  15. Performance of some supervised and unsupervised multivariate techniques for grouping authentic and unauthentic Viagra and Cialis

    Directory of Open Access Journals (Sweden)

    Michel J. Anzanello

    2014-09-01

    Full Text Available A typical application of multivariate techniques in forensic analysis consists of discriminating between authentic and unauthentic samples of seized drugs, in addition to finding similar properties in the unauthentic samples. In this paper, the performance of several methods belonging to two different classes of multivariate techniques–supervised and unsupervised techniques–were compared. The supervised techniques (ST are the k-Nearest Neighbor (KNN, Support Vector Machine (SVM, Probabilistic Neural Networks (PNN and Linear Discriminant Analysis (LDA; the unsupervised techniques are the k-Means CA and the Fuzzy C-Means (FCM. The methods are applied to Infrared Spectroscopy by Fourier Transform (FTIR from authentic and unauthentic Cialis and Viagra. The FTIR data are also transformed by Principal Components Analysis (PCA and kernel functions aimed at improving the grouping performance. ST proved to be a more reasonable choice when the analysis is conducted on the original data, while the UT led to better results when applied to transformed data.

  16. Impact of Delayed Time to Advanced Imaging on Missed Appointments Across Different Demographic and Socioeconomic Factors.

    Science.gov (United States)

    Daye, Dania; Carrodeguas, Emmanuel; Glover, McKinley; Guerrier, Claude Emmanuel; Harvey, H Benjamin; Flores, Efrén J

    2018-05-01

    The aim of this study was to investigate the impact of wait days (WDs) on missed outpatient MRI appointments across different demographic and socioeconomic factors. An institutional review board-approved retrospective study was conducted among adult patients scheduled for outpatient MRI during a 12-month period. Scheduling data and demographic information were obtained. Imaging missed appointments were defined as missed scheduled imaging encounters. WDs were defined as the number of days from study order to appointment. Multivariate logistic regression was applied to assess the contribution of race and socioeconomic factors to missed appointments. Linear regression was performed to assess the relationship between missed appointment rates and WDs stratified by race, income, and patient insurance groups with analysis of covariance statistics. A total of 42,727 patients met the inclusion criteria. Mean WDs were 7.95 days. Multivariate regression showed increased odds ratio for missed appointments for patients with increased WDs (7-21 days: odds ratio [OR], 1.39; >21 days: OR, 1.77), African American patients (OR, 1.71), Hispanic patients (OR, 1.30), patients with noncommercial insurance (OR, 2.00-2.55), and those with imaging performed at the main hospital campus (OR, 1.51). Missed appointment rate linearly increased with WDs, with analysis of covariance revealing underrepresented minorities and Medicaid insurance as significant effect modifiers. Increased WDs for advanced imaging significantly increases the likelihood of missed appointments. This effect is most pronounced among underrepresented minorities and patients with lower socioeconomic status. Efforts to reduce WDs may improve equity in access to and utilization of advanced diagnostic imaging for all patients. Copyright © 2018. Published by Elsevier Inc.

  17. Alternating multivariate trigonometric functions and corresponding Fourier transforms

    International Nuclear Information System (INIS)

    Klimyk, A U; Patera, J

    2008-01-01

    We define and study multivariate sine and cosine functions, symmetric with respect to the alternating group A n , which is a subgroup of the permutation (symmetric) group S n . These functions are eigenfunctions of the Laplace operator. They determine Fourier-type transforms. There exist three types of such transforms: expansions into corresponding sine-Fourier and cosine-Fourier series, integral sine-Fourier and cosine-Fourier transforms, and multivariate finite sine and cosine transforms. In all these transforms, alternating multivariate sine and cosine functions are used as a kernel

  18. Socioeconomic status, cognition, and hippocampal sclerosis.

    Science.gov (United States)

    Baxendale, Sallie; Heaney, Dominic

    2011-01-01

    Poorer surgical outcomes in patients with low socioeconomic status have previously been reported, but the mechanisms underlying this pattern are unknown. Lower socioeconomic status may be a proxy marker for the limited economic opportunities associated with compromised cognitive function. The aim of this study was to examine the preoperative neuropsychological characteristics of patients with unilateral hippocampal sclerosis (HS) and their relationship to socioeconomic status. Two hundred ninety-two patients with medically intractable temporal lobe epilepsy and unilateral HS completed tests of memory and intellectual function prior to surgery. One hundred thirty-one had right HS (RHS), and 161 had left HS (LHS). The socioeconomic status of each participant was determined via the Index of Multiple Deprivation (IMD) associated with their postcode. The IMD was not associated with age at the time of assessment, age at onset of epilepsy, or duration of active epilepsy. The RHS and LHS groups did not differ on the IMD. The IMD was negatively correlated with all neuropsychological test scores in the LHS group. In the RHS group, the IMD was not significantly correlated with any of the neuropsychological measures. There were no significant correlations in the RHS group. Regression analyses suggested that IMD score explained 3% of variance in the measures of intellect, but 8% of the variance in verbal learning in the LHS group. The IMD explained 1% or less of the variance in neuropsychological scores in the RHS group. Controlling for overall level of intellectual function, the IMD score explained a small but significant proportion of the variance in verbal learning in the LHS group and visual learning for the RHS group. Our findings suggest that patients living in an area with a high IMD enter surgery with greater focal deficits associated with their epilepsy and more widespread cognitive deficits if they have LHS. Further work is needed to establish the direction of the

  19. The association between subjective socioeconomic status and health inequity in victims of occupational accidents in Korea.

    Science.gov (United States)

    Seok, Hongdeok; Yoon, Jin-Ha; Roh, Jaehoon; Kim, Jihyun; Kim, Yeong-Kwang; Lee, Wanhyung; Rhie, Jeongbae; Won, Jong-Uk

    2017-01-24

    We aimed to investigate the health inequity of victims of occupational accidents through the association between socioeconomic status and unmet healthcare need. Data from the first and second Panel Study of Workers' Compensation Insurance were used, which included 1,803 participants. The odds ratio and 95% confidence intervals for the unmet healthcare needs of participants with a lower socioeconomic status and other socioeconomic statuses were investigated using multivariate regression analysis. Among all participants, 103 had unmet healthcare needs, whereas 1,700 did not. After adjusting for sex, age, smoking, alcohol, chronic disease, recuperation duration, accident type, disability, and economic participation, the odds ratio of unmet healthcare needs in participants with a lower socioeconomic status was 2.04 (95% confidence interval 1.32-3.15) compared to participants with other socioeconomic statuses. The victims of occupational accidents who have a lower socioeconomic status are more likely to have unmet healthcare needs in comparison to those with other socioeconomic statuses.

  20. Self-reported oral and general health in relation to socioeconomic position.

    Science.gov (United States)

    Hakeberg, Magnus; Wide Boman, Ulla

    2017-07-26

    During the past two decades, several scientific publications from different countries have shown how oral health in the population varies with social determinants. The aim of the present study was to explore the relationship between self-reported oral and general health in relation to different measures of socioeconomic position. Data were collected from a randomly selected sample of the adult population in Sweden (n = 3500, mean age 53.4 years, 53.1% women). The response rate was 49.7%. Subjects were interviewed by telephone, using a questionnaire including items on self-reported oral and general health, socioeconomic position and lifestyle. A significant gradient was found for both oral and general health: the lower the socioeconomic position, the poorer the health. Socioeconomic position and, above all, economic measures were strongly associated with general health (OR 3.95) and with oral health (OR 1.76) if having an income below SEK 200,000 per year. Similar results were found in multivariate analyses controlling for age, gender and lifestyle variables. For adults, there are clear socioeconomic gradients in self-reported oral and general health, irrespective of different socioeconomic measures. Action is needed to ensure greater equity of oral and general health.

  1. Socioeconomic differences in the burden of disease in Sweden

    DEFF Research Database (Denmark)

    Ljung, Rickard; Peterson, Stefan; Hallqvist, Johan

    2005-01-01

    OBJECTIVE: We sought to analyse how much of the total burden of disease in Sweden, measured in disability-adjusted life years (DALYs), is a result of inequalities in health between socioeconomic groups. We also sought to determine how this unequal burden is distributed across different disease...... of disease that take both mortality and morbidity into account can help policy-makers understand the magnitude of inequalities in health for different disease groups....... groups and socioeconomic groups. METHODS: Our analysis used data from the Swedish Burden of Disease Study. We studied all Swedish men and women in three age groups (15-44, 45-64, 65-84) and five major socioeconomic groups. The 18 disease and injury groups that contributed to 65% of the total burden...

  2. The DISC (Diabetes in Social Context Study-evaluation of a culturally sensitive social network intervention for diabetic patients in lower socioeconomic groups: a study protocol

    Directory of Open Access Journals (Sweden)

    Vissenberg Charlotte

    2012-03-01

    Full Text Available Abstract Background Compared to those in higher socioeconomic groups, diabetic patients in lower socioeconomic groups have less favourable metabolic control and experience more diabetes-related complications. They encounter specific barriers that hinder optimal diabetes self-management, including a lack of social support and other psychosocial mechanisms in their immediate social environments. Powerful Together with Diabetes is a culturally sensitive social network intervention specifically targeted to ethnic Dutch, Moroccan, Turkish, and Surinamese diabetic patients in lower socioeconomic groups. For ten months, patients will participate in peer support groups in which they will share experiences, support each other in maintaining healthy lifestyles, and learn skills to resist social pressure. At the same time, their significant others will also receive an intervention, aimed at maximizing support for and minimizing the negative social influences on diabetes self-management. This study aims to test the effectiveness of Powerful Together with Diabetes. Methods/Design We will use a quasi-experimental design with an intervention group (Group 1 and two comparison groups (Groups 2 and 3, N = 128 in each group. Group 1 will receive Powerful Together with Diabetes. Group 2 will receive Know your Sugar, a six-week group intervention that does not focus on the participants' social environments. Group 3 receives standard care only. Participants in Groups 1 and 2 will be interviewed and physically examined at baseline, 3, 10, and 16 months. We will compare their haemoglobin A1C levels with the haemoglobin A1C levels of Group 3. Main outcome measures are haemoglobin A1C, diabetes-related quality of life, diabetes self-management, health-related, and intermediate outcome measures. We will conduct a process evaluation and a qualitative study to gain more insights into the intervention fidelity, feasibility, and changes in the psychosocial mechanism in the

  3. Gender differences in asthma prevalence: variations with socioeconomic disadvantage.

    Science.gov (United States)

    Chittleborough, Catherine R; Taylor, Anne W; Dal Grande, Eleonora; Gill, Tiffany K; Grant, Janet F; Adams, Robert J; Wilson, David H; Ruffin, Richard E

    2010-01-01

    Socioeconomic inequalities in health have been shown to vary for different diseases and by gender. This study aimed to examine gender differences in associations between asthma and socioeconomic disadvantage. Socioeconomic variables were assessed among men and women in the North West Adelaide Health Study, a representative population cohort (n = 4060) aged 18 years and over in metropolitan South Australia. Asthma was determined from spirometry and self-reported doctor diagnosis. The prevalence of asthma was 12.0% (95% CI: 11.1-13.1), and was significantly higher among women (13.5%) than men (10.5%). For participants aged 18-64 years a higher prevalence of asthma was associated with an education level of secondary school or lower, or not being in the paid labour force among men, and with a gross annual household income of $20,000 or less among women. Among socioeconomically advantaged groups, the prevalence of asthma was significantly higher among women than men. Socioeconomic disadvantage was associated with higher asthma prevalence, although this varied by gender depending on the indicator of socioeconomic position used. Men with low education or those not employed in the paid labour force had higher asthma prevalence than more socioeconomically advantaged men. Women with low income had higher asthma prevalence than those with higher income. Among all socioeconomically advantaged groups, and also the low-income group, women experienced a higher prevalence of asthma than men.

  4. Socioeconomic position and smoking behaviour in Danish adults

    DEFF Research Database (Denmark)

    Osler, M; Holstein, B; Avlund, K

    2001-01-01

    . Logistic regression was used to analyse the influence of education and occupation on smoking behaviour controlling for sex and birth cohort. RESULTS: In cohorts born after 1930 ever and current smoking were related to years of school education and current occupation. The prevalences of ever and current...... of birth. In multivariate analysis controlling for sex and birth cohort, ex-smoking seemed to be more strongly associated with education than occupation. Those with 12 or more years of school education had twice as high a chance of being ex-smokers as those with 7 years of school or less. CONCLUSION......AIMS: The associations between smoking and various socioeconomic indicators may have different implications and causes, which may also vary according to sex and birth cohort. This study analyses how two dimensions of socioeconomic position, an individual (education) and a structural (occupation...

  5. Cigarette advertising in Mumbai, India: targeting different socioeconomic groups, women, and youth.

    Science.gov (United States)

    Bansal, R; John, S; Ling, P M

    2005-06-01

    Despite a recent surge in tobacco advertising and the recent advertising ban (pending enforcement at the time of this study), there are few studies describing current cigarette marketing in India. This study sought to assess cigarette companies' marketing strategies in Mumbai, India. A two week field study was conducted in Mumbai in September 2003, observing, documenting, and collecting cigarette advertising on billboards, storefronts and at point of sale along two major thoroughfares, and performing a content analysis of news, film industry, and women's magazines and three newspapers. Cigarette advertising was ubiquitous in the environment, present in news and in film magazines, but not in women's magazines or the newspapers. The four major advertising campaigns all associated smoking with aspiration; the premium brands targeting the higher socioeconomic status market utilised tangible images of westernization and affluence whereas the "bingo" (low priced) segment advertisements invited smokers to belong to a league of their own and "rise to the taste" using intangible images. Women were not depicted smoking, but were present in cigarette advertisements--for example, a woman almost always accompanied a man in "the man with the smooth edge" Four Square campaign. Advertisements and product placements at low heights and next to candies at point of sale were easily accessible by children. In view of the imminent enforcement of the ban on tobacco advertisements, cigarette companies are increasing advertising for the existing brand images, launching brand extensions, and brand stretching. Cigarette companies have developed sophisticated campaigns targeting men, women, and children in different socioeconomic groups. Many of these strategies circumvent the Indian tobacco advertising ban. Understanding these marketing strategies is critical to minimise the exploitation of loopholes in tobacco control legislation.

  6. Socioeconomic and psychological impact of treatment for unilateral intraocular retinoblastoma.

    Science.gov (United States)

    Soliman, S E; Dimaras, H; Souka, A A; Ashry, M H; Gallie, B L

    2015-06-01

    To identify the socioeconomic and psychosocial impacts of clinical treatment decisions for advanced unilateral intraocular retinoblastoma. Retrospective observational case series. institutional study at Alexandria Main University Hospital. records of 66 unilateral retinoblastoma cases treated from May 2005 to May 2013 were retrospectively reviewed. Sixty cases were eligible (International Intraocular Retinoblastoma Classification [IIRC] group C, D or E). two treatment groups were compared: enucleation vs. salvage treatment. Salvage treatment eyes were further subdivided based on IIRC group. Six socioeconomic parameters (financial burden, financial impact, psychological, social, medical and tumor impacts) were scored. Parameter scores ranged from 0 to 3, for overall score range 0 (no adverse impact) to 18 (severe adverse impact). derived Socioeconomic scores were correlated with treatment and outcomes. The enucleation group (28 eyes) had a median overall Socioeconomic score of 4/18, significantly lower than the salvage treatment group (32 eyes), median score 11/18 (PSocioeconomic score varied with IIRC group. Attempted eye salvage failed in 25 children, due to uncontrolled tumor (44%) and socioeconomic impact of cumulative therapies (56%). Treatment duration and Socioeconomic score were higher for the 5 children in the salvage treatment group who developed metastatic disease compared to those without metastasis (Psocioeconomic and psychosocial impacts of attempted ocular salvage for unilateral intraocular retinoblastoma are severe, in comparison to primary enucleation. Primary enucleation is a good treatment for unilateral retinoblastoma. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

  7. Socioeconomic differences in micronutrient intake and status in Europe

    NARCIS (Netherlands)

    Novakovic, R.N.

    2013-01-01

    The aim of this thesis was to evaluate micronutrient intake and status of socioeconomic disadvantaged populations, such as from Central and Eastern European (CEE) as compared to other European populations, and low socioeconomic status (SES) groups as compared to high SES groups within European

  8. The association between socioeconomic status and the symptoms at diagnosis of celiac disease: a retrospective cohort study.

    Science.gov (United States)

    Roy, Abhik; Mehra, Shilpa; Kelly, Ciarán P; Tariq, Sohaib; Pallav, Kumar; Dennis, Melinda; Peer, Ann; Lebwohl, Benjamin; Green, Peter H R; Leffler, Daniel A

    2016-07-01

    There are little data on patient factors that impact diagnosis rates of celiac disease. This study aims to evaluate the association between patient socioeconomic status and the symptoms at diagnosis of celiac disease. A total of 872 patients with biopsy-proven celiac disease were categorized based on the presence or absence of (1) diarrhea and (2) any gastrointestinal symptoms at diagnosis. Univariate and multivariate analyses were used to assess the association between socioeconomic status and symptoms. Patients without diarrhea at presentation had a higher mean per capita income (US$34,469 versus US$32,237, p = 0.02), and patients without any gastrointestinal symptoms had a higher mean per capita income (US$36,738 versus US$31,758, p symptoms. On multivariable analysis adjusting for sex, age, autoimmune or psychiatric comorbidities, and income, per capita income remained a significant predictor of diagnosis without gastrointestinal symptoms (odds ratio: 1.71, 95% confidence interval: 1.17-2.50, p symptoms of celiac disease are less likely to be diagnosed if they are of lower socioeconomic status. Celiac disease may be under-recognized in this population due to socioeconomic factors that possibly include lower rates of health-seeking behavior and access to healthcare.

  9. Variations in health status within and between socioeconomic strata

    OpenAIRE

    Ferrer, R; Palmer, R

    2004-01-01

    Objectives: To analyse the variability in health status within as well as between socioeconomic groups. What is the range of individual variability in the health effects of socioeconomic status? Is the adverse effect of lower socioeconomic status uniform across the entire distribution of health status?

  10. Sociodemographic and socioeconomic variations in leisure time physical activity in a sample of Hungarian youth.

    Science.gov (United States)

    Piko, Bettina F; Keresztes, Noémi

    2008-01-01

    The main goal of the present study is to detect the relationship between youth's leisure time physical activity and a set of sociodemographic (age, gender, family stucture) and socioeconomic variables (SES and parental schooling). Data were collected among Hungarian youth (middle and high school students, N = 1662) aged between 10-20 years using a self-administered questionnaire. Our findings did not indicate gender differences during the years of middle school, whereas gender differences became significant during the years of high school. In multivariate analyses, parental schooling played a decisive role in youth's physical activity, wheres SES self-assessment did not remain significant. These findings provide some useful information on characteristics of the target groups for health education programs.

  11. Principal component analysis of socioeconomic factors and their association with malaria in children from the Ashanti Region, Ghana.

    Science.gov (United States)

    Krefis, Anne Caroline; Schwarz, Norbert Georg; Nkrumah, Bernard; Acquah, Samuel; Loag, Wibke; Sarpong, Nimako; Adu-Sarkodie, Yaw; Ranft, Ulrich; May, Jürgen

    2010-07-13

    The socioeconomic and sociodemographic situation are important components for the design and assessment of malaria control measures. In malaria endemic areas, however, valid classification of socioeconomic factors is difficult due to the lack of standardized tax and income data. The objective of this study was to quantify household socioeconomic levels using principal component analyses (PCA) to a set of indicator variables and to use a classification scheme for the multivariate analysis of children<15 years of age presented with and without malaria to an outpatient department of a rural hospital. In total, 1,496 children presenting to the hospital were examined for malaria parasites and interviewed with a standardized questionnaire. The information of eleven indicators of the family's housing situation was reduced by PCA to a socioeconomic score, which was then classified into three socioeconomic status (poor, average and rich). Their influence on the malaria occurrence was analysed together with malaria risk co-factors, such as sex, parent's educational and ethnic background, number of children living in a household, applied malaria protection measures, place of residence and age of the child and the mother. The multivariate regression analysis demonstrated that the proportion of children with malaria decreased with increasing socioeconomic status as classified by PCA (p<0.05). Other independent factors for malaria risk were the use of malaria protection measures (p<0.05), the place of residence (p<0.05), and the age of the child (p<0.05). The socioeconomic situation is significantly associated with malaria even in holoendemic rural areas where economic differences are not much pronounced. Valid classification of the socioeconomic level is crucial to be considered as confounder in intervention trials and in the planning of malaria control measures.

  12. Health status and air pollution related socioeconomic concerns in urban China.

    Science.gov (United States)

    Jiao, Kaishan; Xu, Mengjia; Liu, Meng

    2018-02-05

    China is experiencing environmental issues and related health effects due to its industrialization and urbanization. The health effects associated with air pollution are not just a matter of epidemiology and environmental science research, but also an important social science issue. Literature about the relationship of socioeconomic factors with the environment and health factors is inadequate. The relationship between air pollution exposure and health effects in China was investigated with consideration of the socioeconomic factors. Based on nationwide survey data of China in 2014, we applied the multilevel mixed-effects model to evaluate how socioeconomic status (represented by education and income) contributed to the relationship between self-rated air pollution and self-rated health status at community level and individual level. The findings indicated that there was a non-linear relationship between the community socioeconomic status and community air pollution in urban China, with the highest level of air pollution presented in the communities with moderate socioeconomic status. In addition, health effects associated air pollution in different socioeconomic status groups were not equal. Self-rated air pollution had the greatest impact on self-rated health of the lower socioeconomic groups. With the increase of socioeconomic status, the effect of self-rated air pollution on self-rated health decreased. This study verified the different levels of exposure to air pollution and inequality in health effects among different socioeconomic groups in China. It is imperative for the government to urgently formulate public policies to enhance the ability of the lower socioeconomic groups to circumvent air pollution and reduce the health damage caused by air pollution.

  13. Employment characteristics and socioeconomic factors associated with disparities in smoking abstinence and former smoking among U.S. workers.

    Science.gov (United States)

    Fagan, Pebbles; Shavers, Vickie L; Lawrence, Deirdre; Gibson, James Todd; O'Connell, Mary E

    2007-11-01

    This study examines the associations among employment and socioeconomic factors and the outcomes, current smoking, cigarette abstinence and former smoking among adult U.S. workers ages 18-64 (n=288,813). Multivariate logistic regression was used to examine the associations among the variables using cross-sectional data from the 1998-1999 and 2001-2002 Tobacco Use Supplements to the Current Population Survey. Lower odds of current smoking was observed among part-time workers compared to those working variable hours and multiple job holders compared to persons holding one job. The self-employed, part-time workers and multiple job holders had higher odds of former smoking than comparison groups. Employment factors were not associated with short-term abstinence or 12-month abstinence from smoking, but income, education, marital status, and duration of smoking were associated with 12-month abstinence. These data suggest that while employment factors are associated with current and former smoking, socioeconomic factors are associated with long-term quitting.

  14. Role of age, sex, and obesity in the higher prevalence of arthritis among lower socioeconomic groups: a population-based survey.

    Science.gov (United States)

    Busija, Lucy; Hollingsworth, Bruce; Buchbinder, Rachelle; Osborne, Richard H

    2007-05-15

    To compare the prevalence of arthritis among population groups based on demographic, socioeconomic, and body mass index (BMI) characteristics; to investigate the combined influence of these factors on arthritis; and to assess the relationship between self-reported health and psychological distress and arthritis. Data from the Victorian Population Health Survey (n = 7,500) were used in the study. Psychological distress was assessed using the Kessler Psychological Distress scale, and self-reported health was assessed by a single item. Multiple logistic regression was used to investigate the combined influence of demographic and socioeconomic factors and BMI on arthritis. Overall, 23% of Victorian adults (20% men and 26% women) reported having arthritis. The presence of arthritis was associated with high psychological distress (odds ratio [OR] 1.2; 95% confidence interval [95% CI] 1.1-1.4) and poor self-reported health (OR 1.9; 95% CI 1.7-2.1). Increased prevalence of arthritis was found in older age groups, lower education and income groups, and in people who were overweight or obese. Women had higher risk of arthritis, even after adjustment for age, residence, education, occupation, income, and BMI. Age and BMI independently predicted arthritis for men and women. For men, higher risk of arthritis was also associated with lower income. Arthritis is a highly prevalent condition associated with poor health and high psychological distress. Prevalence of arthritis is disproportionately high among women and individuals from lower socioeconomic backgrounds. As the prevalence of arthritis is predicted to increase, careful consideration of causal factors, and setting priorities for resource allocation for the treatment and prevention of arthritis are required.

  15. Cigarette advertising in Mumbai, India: targeting different socioeconomic groups, women, and youth

    Science.gov (United States)

    Bansal, R; John, S; Ling, P

    2005-01-01

    Background: Despite a recent surge in tobacco advertising and the recent advertising ban (pending enforcement at the time of this study), there are few studies describing current cigarette marketing in India. This study sought to assess cigarette companies' marketing strategies in Mumbai, India. Methods: A two week field study was conducted in Mumbai in September 2003, observing, documenting, and collecting cigarette advertising on billboards, storefronts and at point of sale along two major thoroughfares, and performing a content analysis of news, film industry, and women's magazines and three newspapers. Results: Cigarette advertising was ubiquitous in the environment, present in news and in film magazines, but not in women's magazines or the newspapers. The four major advertising campaigns all associated smoking with aspiration; the premium brands targeting the higher socioeconomic status market utilised tangible images of westernisation and affluence whereas the "bingo" (low priced) segment advertisements invited smokers to belong to a league of their own and "rise to the taste" using intangible images. Women were not depicted smoking, but were present in cigarette advertisements—for example, a woman almost always accompanied a man in "the man with the smooth edge" Four Square campaign. Advertisements and product placements at low heights and next to candies at point of sale were easily accessible by children. In view of the iminent enforcement of the ban on tobacco advertisements, cigarette companies are increasing advertising for the existing brand images, launching brand extensions, and brand stretching. Conclusion: Cigarette companies have developed sophisticated campaigns targeting men, women, and children in different socioeconomic groups. Many of these strategies circumvent the Indian tobacco advertising ban. Understanding these marketing strategies is critical to mimimise the exploitation of loopholes in tobacco control legislation. PMID:15923471

  16. Socioeconomic inequalities in stillbirth rates in Europe

    DEFF Research Database (Denmark)

    Zeitlin, Jennifer; Mortensen, Laust; Prunet, Caroline

    2016-01-01

    in their country. Conclusions: Data on stillbirths and socioeconomic status from routine systems showed widespread and consistent socioeconomic inequalities in stillbirth rates in Europe. Further research is needed to better understand differences between countries in the magnitude of the socioeconomic gradient.......Background: Previous studies have shown that socioeconomic position is inversely associated with stillbirth risk, but the impact on national rates in Europe is not known. We aimed to assess the magnitude of social inequalities in stillbirth rates in European countries using indicators generated...... from routine monitoring systems. Methods: Aggregated data on the number of stillbirths and live births for the year 2010 were collected for three socioeconomic indicators (mothers' educational level, mothers' and fathers' occupational group) from 29 European countries participating in the Euro...

  17. Socio-economic influences on gender inequalities in child health in rural Bangladesh.

    Science.gov (United States)

    Rousham, E K

    1996-08-01

    To investigate gender inequalities in child growth and nutritional status in relation to socio-economic status in Bangladesh. A 16-month longitudinal study of child growth measuring anthropometric and socio-economic status. A rural area of Jamalpur district, northern Bangladesh. 1366 children from 2 to 6 years of age. Child height and weight were measured monthly. Morbidity, food intake and health-seeking behaviours were assessed fortnightly. Multivariable analyses were performed on the growth and nutritional status of male and female children in relation to socio-economic factors including father's occupation, parental education, birth order and family size. There was no evidence of gender bias in farming and trading/employee households but landless female children had significantly poorer height-for-age (P Bangladesh varied significantly according to occupational status, such that the effect of sex was dependent upon occupation. These effects were statistically significant during the period of natural disaster but became insignificant as local conditions improved. This demonstrates both temporal and socio-economic variation in gender inequalities in health.

  18. Obesity and Overweight Among Brazilian Early Adolescents: Variability Across Region, Socioeconomic Status, and Gender

    Directory of Open Access Journals (Sweden)

    Chris Fradkin

    2018-04-01

    Full Text Available IntroductionAs with most emerging nations, Brazil lacks up-to-date data on the prevalence of obesity and overweight among its children. Of particular concern is the lack of data on children in early adolescence, considered by many to be the crucial stage for weight-related healthcare.ObjectiveTo assess regional, socioeconomic, and gender differences in the prevalence of obesity and overweight among Brazilian early adolescents.MethodsA cross-sectional study was conducted on a racially diverse sample of students aged 10–13 years, from schools in three geographic regions (north, northeast, south (N = 1,738. Data on gender, age, race, socioeconomic status (SES, weight, and height were obtained. Weight class was calculated from age- and gender-adjusted body mass index, based on children’s weight and height. Bivariate and multivariable analyses, with post hoc tests, were conducted to estimate differences between groups and were corrected for multiple comparisons. Procedures were approved by institutional review boards at study sites.ResultsAnalyses revealed a higher prevalence of obesity and/or overweight among: (1 children of higher SES; (2 children in southern Brazil; (3 males; and (4 Black females.ConclusionThe most salient predictor of weight risk among Brazilian early adolescents is higher SES. This finding is consistent with previous findings of an inverse social gradient, in weight risk, among emerging-nation population groups.

  19. Measuring socio-economic position in dietary research: is choice of socio-economic indicator important?

    Science.gov (United States)

    Turrell, Gavin; Hewitt, Belinda; Patterson, Carla; Oldenburg, Brian

    2003-04-01

    To examine the association between socio-economic position (SEP) and diet, by assessing the unadjusted and simultaneously adjusted (independent) contributions of education, occupation and household income to food purchasing behaviour. The sample was randomly selected using a stratified two-stage cluster design, and the response rate was 66.4%. Data were collected by face-to-face interview. Food purchasing was examined on the basis of three composite indices that reflected a household's choice of grocery items (including meat and chicken), fruit and vegetables. Brisbane City, Australia, 2000. : Non-institutionalised residents of private dwellings located in 50 small areas (Census Collectors Districts). When shopping, respondents in lower socio-economic groups were less likely to purchase grocery foods that were high in fibre and low in fat, salt and sugar. Disadvantaged groups purchased fewer types of fresh fruits and vegetables, and less often, than their counterparts from more advantaged backgrounds. When the relationship between SEP and food purchasing was examined using each indicator separately, education and household income made an unadjusted contribution to purchasing behaviour for all three food indices; however, occupation was significantly related only with the purchase of grocery foods. When education and occupation were simultaneously adjusted for each other, the socio-economic patterning with food purchase remained largely unchanged, although the strength of the associations was attenuated. When household income was introduced into the analysis, the association between education, occupation and food purchasing behaviour was diminished or became non-significant; income, however, showed a strong, graded association with food choice. The food purchasing behaviours of socio-economically disadvantaged groups were least in accord with dietary guideline recommendations, and hence are more consistent with greater risk for the development of diet

  20. The Influence of Socioeconomic Status on Selection of Anticoagulation for Atrial Fibrillation.

    Directory of Open Access Journals (Sweden)

    Michelle Sholzberg

    Full Text Available Without third-party insurance, access to marketed drugs is limited to those who can afford to pay. We examined this phenomenon in the context of anticoagulation for patients with nonvalvular atrial fibrillation (NVAF.To determine whether, among older Ontarians receiving anticoagulation for NVAF, patients of higher socioeconomic status (SES were more likely to switch from warfarin to dabigatran prior to its addition to the provincial formulary.Population-based retrospective cohort study of Ontarians aged 66 years and older, between 2008 and 2012.Socioeconomic status, as approximated by median neighborhood income.We identified two groups of older adults with nonvalvular atrial fibrillation: those who appeared to switch from warfarin to dabigatran after its market approval but prior to its inclusion on the provincial formulary ("switchers", and those with ongoing warfarin use during the same interval ("non-switchers".We studied 34,797 patients, including 3183 "switchers" and 31,614 "non-switchers". We found that higher SES was associated with switching to dabigatran prior to its coverage on the provincial formulary (p<0.0001. In multivariable analysis, subjects in the highest quintile were 50% more likely to switch to dabigatran than those in the lowest income quintile (11.3% vs. 7.3%; adjusted odds ratio 1.50; 95% CI 1.32 to 1.68. Following dabigatran's addition to the formulary, the income gradient disappeared.We documented socioeconomic inequality in access to dabigatran among patients receiving warfarin for NVAF. This disparity was eliminated following the drug's addition to the provincial formulary, highlighting the importance of timely reimbursement decisions.

  1. Gender, childhood and adult socioeconomic inequalities in functional disability among Chinese older adults.

    Science.gov (United States)

    Zhong, Yaqin; Wang, Jian; Nicholas, Stephen

    2017-09-02

    Gender difference and life-course socioeconomic inequalities in functional disability may exist among older adults. However, the association is less well understood among Chinese older population. The objective is to provide empirical evidences on this issue by exploring the association between gender, childhood and adult socioeconomic inequalities in functional disability. Data from the 2013 wave of the China Health and Retirement Longitudinal Study (CHARLS) was utilized. Functional disability was assessed by the activities of daily living (ADL) and instrumental activities of daily living (IADL). Childhood socioeconomic status (SES) was measured by birthplace, father's education and occupation. Adult SES was measured in terms of education and household income. Multivariate logistic regressions were conducted to assess the association between gender, childhood and adult SES and functional disability. Based on a sample of 18,448 older adults aged 45 years old and above, our results showed that the prevalence of ADL and IADL disability was higher among women than men, but gender difference disappeared after adult SES and adult health were controlled. Harsh conditions during childhood were associated with functional disability but in multivariate analyses only father's education was associated with IADL disability (OR for no education = 1.198; 95% CI = 1.062-1.353). Current SES such as higher education and good economic situation are protective factors of functional disability. Childhood and adult SES were both related to functional disability among older adults. Our findings highlight the need for policies and programs aimed at decreasing social inequalities during childhood and early adulthood, which could reduce socioeconomic inequalities in functional disability in later life.

  2. Do socioeconomic factors influence breast cancer screening practices among Arab women in Qatar?

    Science.gov (United States)

    Donnelly, Tam Truong; Al Khater, Al-Hareth; Al Kuwari, Mohamed Ghaith; Al-Bader, Salha Bujassoum; Al-Meer, Nabila; Abdulmalik, Mariam; Singh, Rajvir; Chaudhry, Sofia; Fung, Tak

    2015-01-22

    Breast cancer incidence rates are rising in Qatar. Although the Qatari government provides subsidised healthcare and screening programmes that reduce cost barriers for residents, breast cancer screening (BCS) practices among women remain low. This study explores the influence of socioeconomic status on BCS among Arab women in Qatar. A multicentre, cross-sectional quantitative survey was conducted with 1063 Arab women (87.5% response rate) in Qatar from March 2011 to July 2011. Women who were 35 years or older and had lived in Qatar for at least 10 years were recruited from seven primary healthcare centres and women's health clinics in urban and semiurban regions of Qatar. Associations between socioeconomic factors and BCS practice were estimated using χ(2) tests and multivariate logistic regression analyses. Findings indicate that less than one-third of the participants practised BCS appropriately, whereas less than half of the participants were familiar with recent BCS guidelines. Married women and women with higher education and income levels were significantly more likely to be aware of and to practise BCS than women who had lower education and income levels. Findings indicate low levels of awareness and low participation rates in BCS among Arab women in Qatar. Socioeconomic factors influence these women's participation in BCS activities. The strongest predictors for BCS practice are higher education and higher income levels. Additional research is needed to explore the impact of economic factors on healthcare seeking behaviours in the Middle Eastern countries that have a high national gross domestic product where healthcare services are free or heavily subsidised by the government; promotion of BCS and intervention strategies in these countries should focus on raising awareness about breast cancer, the cost and benefit of early screening for this disease, particularly among low-income women. Published by the BMJ Publishing Group Limited. For permission to

  3. Socioeconomic inequality and its determinants regarding infant mortality in iran.

    Science.gov (United States)

    Damghanian, Maryam; Shariati, Mohammad; Mirzaiinajmabadi, Khadigeh; Yunesian, Masud; Emamian, Mohammad Hassan

    2014-06-01

    Infant mortality rate is a useful indicator of health conditions in the society, the racial and socioeconomic inequality of which is from the most important measures of social inequality. The aim of this study was to determine the socioeconomic inequality and its determinants regarding infant mortality in an Iranian population. This cross-sectional study was performed on 3794 children born during 2010-2011 in Shahroud, Iran. Based on children's addresses and phone numbers, 3412 were available and finally 3297 participated in the study. A data collection form was filled out through interviewing the mothers as well as using health records. Using principal component analysis, the study population was divided to high and low socioeconomic groups based on the case's home asset, education and job of the household's head, marital status, and composition of the household members. Inequality between the groups with regard to infant mortality was investigated by Blinder-Oaxaca decomposition method. The mortality rate was 15.1 per 1000 live births in the high socioeconomic group and 42.3 per 1000 in the low socioeconomic group. Mother's education, consanguinity of parents, and infant's nutrition type and birth weight constituted 44% of the gap contributing factors. Child's gender, high-risk pregnancy, and living area had no impact on the gap. There was considerable socioeconomic inequality regarding infant mortality in Shahroud. Mother's education was the most contributing factor in this inequality.

  4. Associations between retail food store exterior advertisements and community demographic and socioeconomic composition.

    Science.gov (United States)

    Isgor, Zeynep; Powell, Lisa; Rimkus, Leah; Chaloupka, Frank

    2016-05-01

    This paper examines the association between the prevalence of various types of outdoor food and beverage advertising found on the building exteriors and properties of retail food outlets and community racial/ethnic and socioeconomic composition in a nationwide sample of food outlets in the U.S. Our major finding from multivariable analysis is that food stores in low-income communities have higher prevalence of all food and beverage ads, including those for unhealthy products such as regular soda, controlling for community racial/ethnic composition and other covariates. This adds to growing research pointing to socioeconomic disparities in food and beverage marketing exposure. Copyright © 2016 Elsevier Ltd. All rights reserved.

  5. Diet, physical activity and socio-economic disparities of obesity in Lebanese adults: findings from a national study.

    Science.gov (United States)

    Chamieh, Marie Claire; Moore, Helen J; Summerbell, Carolyn; Tamim, Hani; Sibai, Abla Mehio; Hwalla, Nahla

    2015-03-21

    The prevalence of obesity within countries varies by gender, age, lifestyle and socioeconomic factors. Identification of behavioural factors that are associated with obesity within the country's context is critical for the development of effective public health programs which aim to prevent and manage obesity. The objective of this study was to assess age and gender differentials in the prevalence of obesity in Lebanon and examine correlates of obesity with a focus on socioeconomic disparities. Following the WHO STEPwise guidelines, a national survey was conducted in Lebanon in 2008-2009. Households were selected randomly from all Governorates based on stratified cluster sampling method. One adult aged 20 years and over was randomly selected from each household for the interview. Anthropometric measurements and 24 hour recall dietary intake were obtained. The final sample included 1244 men and 1453 women. Descriptive statistics were computed for BMI, waist circumference, and percent body fat. Multivariate logistic regression analysis was carried out to assess the relationship between energy intake and obesity adjusted for relevant co-variables. The prevalence of obesity among Lebanese adults was 26.1%. Gender differences in obesity estimates were observed across age groups and the three obesity classes, with men showing higher prevalence rates at the younger age groups (20-49 years), and women showing higher prevalence rates in older age groups (50 years and above). Obesity showed significant associations with socio-economic status in women; it decreased with higher educational attainment (OR = 0.54, 95% CI: 0.32, 0.91), greater household assets (OR = 0.26; 95% CI: 0.10, 0.72) and lower crowding index (OR = 0.62; 95% CI: 0.39, 0.98), net of the effect of other co-variates. There was a significant positive association between obesity and energy intake in both genders, and a negative association between obesity and physical activity, significantly

  6. Socioeconomic inequalities in adolescent smoking across 35 countries

    DEFF Research Database (Denmark)

    Moor, Irene; Rathmann, Katharina; Lenzi, Michela

    2015-01-01

    BACKGROUND: Tobacco-related heath inequalities are a major public health concern, with smoking being more prevalent among lower socioeconomic groups. The aim of this study is to investigate the mechanisms leading to socioeconomic inequalities in smoking among 15-year-old adolescents by examining ...

  7. Socioeconomic status and health of immigrants.

    Science.gov (United States)

    Vacková, Jitka; Brabcová, Iva

    2015-01-01

    The aim of this article is to acquaint the general public with select socioeconomic status (SES) parameters (type of work, education level, employment category, and net monthly income) of select nationalities (Ukrainians, Slovaks, Vietnamese, Poles, and Russians) from a total of 1,014 immigrants residing in the Czech Republic. It will also present a subjective assessment of socioeconomic status and its interconnection with subjective assessment of health status. This work was carried out as part of the "Social determinants and their impact on the health of immigrants living in the Czech Republic" project (identification number LD 13044), which was conducted under the auspices of the European Cooperation in Science and Technology (COST) agency. Quantitative methodology in the form of a questionnaire was selected to facilitate the research aim. Data was processed using the Statistical Package for Social Sciences (SPSS), version 16.0 (SPSS, Inc., Chicago, IL, USA). Statistical analyses were performed using the Pearson chi-square test, adjusted residual analysis, and multivariate correspondence analysis. The results of these tests demonstrated a statistically significant relationship between subjective assessments of socioeconomic status and the following related select characteristics: type of work performed (manual/intellectual), employment categories, education, and net monthly income. Results indicate that those situated lowest on the socioeconomic ladder feel the poorest in terms of health; not only from a subjective perspective, but also in terms of objective parameter comparisons (e.g. manual laborers who earn low wages). As the level of subjective SES assessment increases, the level of subjective health assessment increases, as well. Thus, the relationship has a natural gradient, as was described by Wilkinson and Marmot in 2003. Our study found no evidence of a healthy immigrant effect. Therefore, it was not possible to confirm that health status deteriorates

  8. Socioeconomic assessment and impact of social security on outcome in patients admitted with suspected coronary chest pain in the city of salta, Argentina.

    Science.gov (United States)

    León de la Fuente, Ricardo A; Naesgaard, Patrycja A; Nilsen, Stein Tore; Woie, Leik; Aarsland, Torbjoern; Staines, Harry; Nilsen, Dennis W T

    2013-01-01

    Low socioeconomic status is associated with increased mortality from coronary heart disease. We assessed total mortality, cardiac death, and sudden cardiac death (SCD) in relation to socioeconomic class and social security in 982 patients consecutively admitted with suspected coronary chest pain, living in the city of Salta, northern Argentina. Patients were divided into three socioeconomic classes based on monthly income, residential area, and insurance coverage. Five-year follow-up data were analyzed accordingly, applying univariate and multivariate analyses. At follow-up, 173 patients (17.6%) had died. In 92 patients (9.4%) death was defined as cardiac, of whom 59 patients (6.0%) were characterized as SCD. In the multivariate analysis, the hazard ratios (HRs) for all-cause and cardiac mortality in the highest as compared to the lowest socioeconomic class were 0.42 (95% confidence interval (CI), 0.22-0.80), P = 0.008, and 0.39 (95% CI, 0.15-0.99), P = 0.047, respectively. Comparing patients in the upper socioeconomic class to patients without healthcare coverage, HRs were 0.46 (95% CI, 0.23-0.94), P = 0.032, and 0.37 (95% CI, 0.14-1.01), P = 0.054, respectively. In conclusion, survival was mainly tied to socioeconomic inequalities in this population, and the impact of a social security program needs further attention.

  9. Impact of socioeconomic factors on outcome of total knee arthroplasty.

    Science.gov (United States)

    Barrack, Robert L; Ruh, Erin L; Chen, Jiajing; Lombardi, Adolph V; Berend, Keith R; Parvizi, Javad; Della Valle, Craig J; Hamilton, William G; Nunley, Ryan M

    2014-01-01

    Few data exist regarding the impact of socioeconomic factors on results of current TKA in young patients. Predictors of TKA outcomes have focused primarily on surgical technique, implant details, and individual patient clinical factors. The relative importance of these factors compared to patient socioeconomic status is not known. We determined whether (1) socioeconomic factors, (2) demographic factors, or (3) implant factors were associated with satisfaction and functional outcomes after TKA in young patients. We surveyed 661 patients (average age, 54 years; range, 18-60 years; 61% female) 1 to 4 years after undergoing modern primary TKA for noninflammatory arthritis at five orthopaedic centers. Data were collected by an independent third party with expertise in collecting healthcare data for state and federal agencies. We examined specific questions regarding satisfaction, pain, and function after TKA and socioeconomic (household income, education, employment) and demographic (sex, minority status) factors. Multivariable analysis was conducted to examine the relative importance of these factors for each outcome of interest. Patients reporting incomes of less than USD 25,000 were less likely to be satisfied with TKA outcomes and more likely to have functional limitations after TKA than patients with higher incomes; no other socioeconomic factors were associated with satisfaction. Women were less likely to be satisfied and more likely to have functional limitations than men, and minority patients were more likely to have functional limitations than nonminority patients. Implants were not associated with outcomes after surgery. Socioeconomic factors, in particular low income, are more strongly associated with satisfaction and functional outcomes in young patients after TKA than demographic or implant factors. Future studies should be directed to determining the causes of this association, and studies of clinical results after TKA should consider stratifying patients

  10. Digit Sucking, Age, Sex, and Socioeconomic Status as Determinants of Oral Hygiene Status and Gingival Health of Children in Suburban Nigeria.

    Science.gov (United States)

    Agbaje, Hakeem O; Kolawole, Kikelomo A; Folayan, Morenike O; Onyejaka, Nneka K; Oziegbe, Elizabeth O; Oyedele, Titus A; Chukwumah, Nneka M; Oshomoji, Olusegun V

    2016-09-01

    This study determines prevalence of digit sucking and gingivitis, and association among age, sex, socioeconomic status, presence of digit-sucking habits, oral hygiene status (OHS), and gingivitis among a group of Nigerian children. Data of 992 children aged 1 to 12 years recruited through a household survey conducted in Osun State, Nigeria were analyzed. Information on age, sex, socioeconomic status, and history of digit-sucking habits were collected. Children were assessed for OHS and severity of gingivitis using the simplified oral hygiene index and the gingival index, respectively. Predictors of presence of gingivitis and poor oral hygiene were determined using multivariate logistic regression. One (0.2%) and 454 (93.0%) children aged 1 to 5 years had poor oral hygiene and mild gingivitis, respectively. Twenty-two (4.4%) and 361 (72.9%) children aged 6 to 12 years had poor oral hygiene and mild gingivitis, respectively. The odds of having poor oral hygiene (adjusted odds ratio [AOR]: 0.26; 95% confidence interval [CI]: 0.20 to 0.35; P oral hygiene and gingivitis. Increasing age and low socioeconomic status were factors that significantly increased chances of having poor oral hygiene and gingivitis.

  11. Prevalence of multimorbidity in the Brazilian adult population according to socioeconomic and demographic characteristics.

    Directory of Open Access Journals (Sweden)

    Januse Nogueira de Carvalho

    Full Text Available Knowledge on the occurrence of multimorbidity is important from the viewpoint of public policies, as this condition increases the consumption of medicines as well as the utilization and expenses of health services, affecting life quality of the population. The objective of this study was to estimate prevalence of self-reported multimorbidity in Brazilian adults (≥18 years old according to socioeconomic and demographic characteristics. A descriptive study is presented herein, based on data from the National Health Survey, which was a household-based survey carried out in Brazil in 2013. Data on 60,202 adult participants over the age of 18 were included. Prevalences and its respective confidence intervals (95% were estimated according to sex, age, education level, marital status, self-reported skin color, area of residence, occupation and federative units (states. Poisson regression models univariate and multivariate were used to evaluate the association between socioeconomic and demographic variables with multimorbidity. To observe the combinations of chronic conditions the most common groups in pairs, trios, quartets and quintets of chronic diseases were observed. The prevalence of multimorbidity was 23.6% and was higher among women, in individuals over 60 years of age, people with low educational levels, people living with partner, in urban areas and among unemployed persons. The states of the South and Southeast regions presented higher prevalence. The most common groups of chronic diseases were metabolic and musculoskeletal diseases. The results demonstrated high prevalence of multimorbidity in Brazil. The study also revealed that a considerable share of the economically active population presented two or more chronic diseases. Data of this research indicated that socioeconomic and demographic aspects must be considered during the planning of health services and development of prevention and treatment strategies for chronic diseases, and

  12. Socioeconomic Inequality and Its Determinants Regarding Infant Mortality in Iran

    Science.gov (United States)

    Damghanian, Maryam; Shariati, Mohammad; Mirzaiinajmabadi, Khadigeh; Yunesian, Masud; Emamian, Mohammad Hassan

    2014-01-01

    Background: Infant mortality rate is a useful indicator of health conditions in the society, the racial and socioeconomic inequality of which is from the most important measures of social inequality. Objectives: The aim of this study was to determine the socioeconomic inequality and its determinants regarding infant mortality in an Iranian population. Patients and Methods: This cross-sectional study was performed on 3794 children born during 2010-2011 in Shahroud, Iran. Based on children’s addresses and phone numbers, 3412 were available and finally 3297 participated in the study. A data collection form was filled out through interviewing the mothers as well as using health records. Using principal component analysis, the study population was divided to high and low socioeconomic groups based on the case’s home asset, education and job of the household’s head, marital status, and composition of the household members. Inequality between the groups with regard to infant mortality was investigated by Blinder-Oaxaca decomposition method. Results: The mortality rate was 15.1 per 1000 live births in the high socioeconomic group and 42.3 per 1000 in the low socioeconomic group. Mother's education, consanguinity of parents, and infant's nutrition type and birth weight constituted 44% of the gap contributing factors. Child's gender, high-risk pregnancy, and living area had no impact on the gap. Conclusions: There was considerable socioeconomic inequality regarding infant mortality in Shahroud. Mother's education was the most contributing factor in this inequality. PMID:25068048

  13. The Relationship between Socioeconomic Status and Narrative Abilities in a Group of Italian Normally Developing Children.

    Science.gov (United States)

    Mozzanica, Francesco; Ambrogi, Federico; Salvadorini, Renata; Sai, Elena; Pozzoli, Raffaella; Barillari, Maria Rosaria; Scarponi, Letizia; Schindler, Antonio

    2016-01-01

    Only limited and conflicting information is available regarding the relationship between socioeconomic status (SES) and narrative abilities. Besides, the role fathers' SES plays in the development of their children's narrative abilities has never been investigated. The aim of this study was to analyze the relationship between fathers' and mothers' SES and narrative abilities of their children assessed with the Italian version of the Bus Story Test (I-BST). A total of 505 normally developing Italian children were enrolled in the study. Information regarding parents' educational level and employment was collected for each child. Narrative abilities were evaluated using the I-BST. The relationships between parents' employment, educational level, and I-BST scores were analyzed by univariate and multivariate regression analysis. In univariate analysis, both fathers' and mothers' education and employment were associated with most I-BST subscale scores, especially when higher educational and employment levels were contrasted with the lowest educational and employment levels. In multiple regression analysis, significant associations were found only between the fathers' working status and educational level and I-BST subscale scores. Parental education and employment might impact narrative abilities of children. When both fathers' and mothers' SES variables are considered together, only fathers' education and working status seemed to be associated with I-BST scores. © 2016 S. Karger AG, Basel.

  14. A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan

    Energy Technology Data Exchange (ETDEWEB)

    Lenzen, M. [University of Sydney (Australia). School of Physics; Wier, M. [Royal Veterinary and Agricultural University, Copenhagen (Denmark). Danish Research Institute of Food Economics; Cohen, C. [Universidade Federal Fluminense, Rio de Janeiro (Brazil). Faculdade de Economia; Hayami, Hitoshi [Keio University, Tokyo (Japan). Keio Economic Observatory; Pachauri, S. [Swiss Federal Institutes of Technology, Zurich (Switzerland). Centre for Energy Policy and Economics; Schaeffer, R. [Universidade Federal do Rio de Janeiro (Brazil). COPPE

    2006-03-01

    In this paper, we appraise sustainable household consumption from a global perspective. Using per capita energy requirements as an indicator of environmental pressure, we focus on the importance of income growth in a cross-country analysis. Our analysis is supported by a detailed within-country analysis encompassing five countries, in which we assess the importance of various socioeconomic-demographic characteristics of household energy requirements. We bring together family expenditure survey data, input-output tables, and energy statistics in a multivariate analysis. Instead of a uniform Kuznet's curve, we find that the effect of increasing income varies considerably across countries, even when controlling for socioeconomic and demographic variations. The latter variables show similar influences, but differing importance across countries. (author)

  15. Assessing socioeconomic inequalities of hypertension among women in Indonesia's major cities.

    Science.gov (United States)

    Christiani, Y; Byles, J E; Tavener, M; Dugdale, P

    2015-11-01

    Although hypertension has been recognized as one of the major public health problems, few studies address economic inequality of hypertension among urban women in developing countries. To assess this issue, we analysed data for 1400 women from four of Indonesia's major cities: Jakarta, Surabaya, Medan and Bandung. Women were aged ⩾15 years (mean age 35.4 years), and were participants in the 2007/2008 Indonesia Family Life Survey. The prevalence of hypertension measured by digital sphygmomanometer among this population was 31%. Using a multivariable logistic regression model, socioeconomic disadvantage (based on household assets and characteristics) as well as age, body mass index and economic conditions were significantly associated with hypertension (Pwork highlights the importance of socioeconomic inequality in the development of hypertension, and particularly the effects of education level.

  16. Association between socioeconomic status, surgical treatment and mortality in patients with colorectal cancer.

    Science.gov (United States)

    Dik, V K; Aarts, M J; Van Grevenstein, W M U; Koopman, M; Van Oijen, M G H; Lemmens, V E; Siersema, P D

    2014-08-01

    High socioeconomic status is associated with better survival in colorectal cancer (CRC). This study investigated whether socioeconomic status is associated with differences in surgical treatment and mortality in patients with CRC. Patients diagnosed with stage I-III CRC between 2005 and 2010 in the Eindhoven Cancer Registry area in the Netherlands were included. Socioeconomic status was determined at a neighbourhood level by combining the mean household income and the mean value of the housing. Some 4422 patients with colonic cancer and 2314 with rectal cancer were included. Patients with colonic cancer and high socioeconomic status were operated on with laparotomy (70·7 versus 77·6 per cent; P = 0·017), had laparoscopy converted to laparotomy (15·7 versus 29·5 per cent; P = 0·008) and developed anastomotic leakage or abscess (9·6 versus 12·6 per cent; P = 0·049) less frequently than patients with low socioeconomic status. These differences remained significant after adjustment for patient and tumour characteristics. In rectal cancer, patients with high socioeconomic status were more likely to undergo resection (96·3 versus 93·7 per cent; P = 0·083), but this was not significant in multivariable analysis (odds ratio (OR) 1·44, 95 per cent confidence interval 0·84 to 2·46). The difference in 30-day postoperative mortality in patients with colonic cancer and high and low socioeconomic status (3·6 versus 6·8 per cent; P socioeconomic status have more favourable surgical treatment characteristics than patients with low socioeconomic status. The lower 30-day postoperative mortality found in patients with colonic cancer and high socioeconomic status is largely explained by patient and surgical factors. © 2014 BJS Society Ltd. Published by John Wiley & Sons Ltd.

  17. Decomposing socioeconomic inequality in child vaccination: results from Ireland.

    Science.gov (United States)

    Doherty, Edel; Walsh, Brendan; O'Neill, Ciaran

    2014-06-05

    There is limited knowledge of the extent of or factors underlying inequalities in uptake of childhood vaccination in Ireland. This paper aims to measure and decompose socioeconomic inequalities in childhood vaccination in the Republic of Ireland. The analysis was performed using data from the first wave of the Growing Up in Ireland survey, a nationally representative survey of the carers of over 11,000 nine-month old babies collected in 2008 and 2009. Multivariate analysis was conducted to explore the child and parental factors, including socioeconomic factors that were associated with non-vaccination of children. A concentration index was calculated to measure inequality in childhood vaccination. Subsequent decomposition analysis identified key factors underpinning observed inequalities. Overall the results confirm a strong socioeconomic gradient in childhood vaccination in the Republic of Ireland. Concentration indices of vaccination (CI=-0.19) show a substantial pro-rich gradient. Results from the decomposition analysis suggest that a substantial proportion of the inequality is explained by household level variables such as socioeconomic status, household structure, income and entitlement to publicly funded care (29.9%, 24% 30.6% and 12.9% respectively). Substantial differences are also observed between children of Irish mothers and immigrant mothers from developing countries. Vaccination was less likely in lower than in higher income households. Access to publicly funded services was an important factor in explaining inequalities. Copyright © 2014 Elsevier Ltd. All rights reserved.

  18. The political mobilization of corporate directors: socio-economic correlates of affiliation to European pressure groups.

    Science.gov (United States)

    Bond, Matthew; Glouharova, Siana; Harrigan, Nicholas

    2010-06-01

    Business has played a central role in the debate over Britain's place in the European Union. This paper examines the socio-economic characteristics of directors of Britain's largest corporations who affiliated either to Business for Sterling or Britain in Europe. It reports associations between directors' social backgrounds and their probabilities of affiliation. Elite university education, club membership, wealth and multiple directorships were all associated with higher propensities to affiliate. The associations are consistent with the idea that directors' social resources allow them to overcome collective action problems as well as supplying them with the motivations to affiliate. They also indicated that directors form a privileged group in that they have a number of very powerful actors who can take unilateral political actions.

  19. Forecasting high-priority infectious disease surveillance regions: a socioeconomic model.

    Science.gov (United States)

    Chan, Emily H; Scales, David A; Brewer, Timothy F; Madoff, Lawrence C; Pollack, Marjorie P; Hoen, Anne G; Choden, Tenzin; Brownstein, John S

    2013-02-01

    Few researchers have assessed the relationships between socioeconomic inequality and infectious disease outbreaks at the population level globally. We use a socioeconomic model to forecast national annual rates of infectious disease outbreaks. We constructed a multivariate mixed-effects Poisson model of the number of times a given country was the origin of an outbreak in a given year. The dataset included 389 outbreaks of international concern reported in the World Health Organization's Disease Outbreak News from 1996 to 2008. The initial full model included 9 socioeconomic variables related to education, poverty, population health, urbanization, health infrastructure, gender equality, communication, transportation, and democracy, and 1 composite index. Population, latitude, and elevation were included as potential confounders. The initial model was pared down to a final model by a backwards elimination procedure. The dependent and independent variables were lagged by 2 years to allow for forecasting future rates. Among the socioeconomic variables tested, the final model included child measles immunization rate and telephone line density. The Democratic Republic of Congo, China, and Brazil were predicted to be at the highest risk for outbreaks in 2010, and Colombia and Indonesia were predicted to have the highest percentage of increase in their risk compared to their average over 1996-2008. Understanding socioeconomic factors could help improve the understanding of outbreak risk. The inclusion of the measles immunization variable suggests that there is a fundamental basis in ensuring adequate public health capacity. Increased vigilance and expanding public health capacity should be prioritized in the projected high-risk regions.

  20. Impact of socioeconomic status on survival for patients with anal cancer.

    Science.gov (United States)

    Lin, Daniel; Gold, Heather T; Schreiber, David; Leichman, Lawrence P; Sherman, Scott E; Becker, Daniel J

    2018-04-15

    Although outcomes for patients with squamous cell carcinoma of the anus (SCCA) have improved, the gains in benefit may not be shared uniformly among patients of disparate socioeconomic status. In the current study, the authors investigated whether area-based median household income (MHI) is predictive of survival among patients with SCCA. Patients diagnosed with SCCA from 2004 through 2013 in the Surveillance, Epidemiology, and End Results registry were included. Socioeconomic status was defined by census-tract MHI level and divided into quintiles. Multivariable Cox proportional hazards models and logistic regression were used to study predictors of survival and radiotherapy receipt. A total of 9550 cases of SCCA were included. The median age of the patients was 58 years, 63% were female, 85% were white, and 38% were married. In multivariable analyses, patients living in areas with lower MHI were found to have worse overall survival and cancer-specific survival (CSS) compared with those in the highest income areas. Mortality hazard ratios for lowest to highest income were 1.32 (95% confidence interval [95% CI], 1.18-1.49), 1.31 (95% CI, 1.16-1.48), 1.19 (95% CI, 1.06-1.34), and 1.16 (95% CI, 1.03-1.30). The hazard ratios for CSS similarly ranged from 1.34 to 1.22 for lowest to highest income. Older age, black race, male sex, unmarried marital status, an earlier year of diagnosis, higher tumor grade, and later American Joint Committee on Cancer stage of disease also were associated with worse CSS. Income was not found to be associated with the odds of initiating radiotherapy in multivariable analysis (odds ratio of 0.87 for lowest to highest income level; 95% CI, 0.63-1.20). MHI appears to independently predict CSS and overall survival in patients with SCCA. Black race was found to remain a predictor of SCCA survival despite controlling for income. Further study is needed to understand the mechanisms by which socioeconomic inequalities affect cancer care and

  1. Testicular microlithiasis is associated with ethnicity and socioeconomic status.

    Science.gov (United States)

    Pedersen, Malene R; Bartlett, Emily C; Rafaelsen, Søren R; Osther, Palle J; Vedsted, Peter; Sellars, Maria E; Sidhu, Paul S; Møller, Henrik

    2017-08-01

    There are limited studies about testicular microlithiasis (TML) and background information such as health, lifestyle, and socioeconomic status. To assess the prevalence of TML in relation to socioeconomic status and ethnicity. From a database of scrotal ultrasound examinations in a single institution, all men who underwent routine ultrasound examinations for a variety of symptoms from 1998 to 2015 were included. Skilled observers performed all examinations, and presence of any form of intra-testicular calcification, including TML, was recorded on the examination report and a representative image obtained and stored. A total of 1105 cases with TML were reviewed and random sample of 1105 controls from the same database was also reviewed. Demographics were recorded including ethnicity (white, black, and others) and socioeconomic groups (IMD Quintile). Black men had increased prevalence of TML (odds ratio [OR] = 2.17, 95% confidence interval [CI] = 1.72-2.75) compared with white men. Among the 1105 TML cases, 423 (38.3%) were white, 273 (24.7%) black, 152 (13.8%) had other ethnicities, and 257 (23.2%) had no ethnicity recorded. In the control group of 1105 men without TML, 560 (50.7%) were white, 171 (15.5%) black, 111 (10.0%) had other specified ethnicities, and 263 (23.8%) had no ethnicity recorded. Men from the most deprived socioeconomic groups had higher prevalence of TML than men in the most affluent groups, with a trend in OR from the least deprived to the most deprived group. Pathogenesis and clinical relevance of TML is unknown but our results point towards possible ethnic and socioeconomic variation in the underlying causes of TML.

  2. Association Between Lipid Biomarkers, Physical Activity, and Socioeconomic Status in a Population-Based Cross-Sectional Study in the UK.

    Science.gov (United States)

    Brown, Heather; Becker, Frauke; Antwi, Kofi

    Cardiovascular disease (CVD) is the leading cause of global death. Physical activity can help individuals reduce their CVD risk. However, the biological mechanisms explaining the link between physical activity and CVD risk and how they may be mediated by socioeconomic status are not well understood. We use cross-sectional data from 2010/2011 of the Understanding Society Survey, UK, to investigate the association between two biomarkers for CVD risk: cholesterol ratio and triglyceride levels and four different measures of physical activity: moderate, mild, self-reported activity rating, and walking 30 min or more a week using multivariate logistic regression. The analysis investigates if this association is mediated by socioeconomic status and difficulty accessing sports facilities. Results from multivariate regressions show that moderate and self-reported activity rating are significantly associated with cholesterol ratio and triglycerides for both men and women. A weaker association was found for walking 30 min or more a week. No association was found between mild physical activity and the two biomarkers. There is some evidence that socioeconomic status mediates the relationship between the biomarkers and physical activity. A significant association between socioeconomic status variables and the biomarkers was found only for women. We provide some evidence of the mechanisms explaining the link between CVD risk and physical activity by finding an association with traditional lipid biomarkers. We also find that intensity of physical activity matters. Socioeconomic status especially for women is important which may explain some of the inequalities in CVD risk.

  3. Gender and Socioeconomic Status in Relation to Weight Perception and Weight Control Behavior in Korean Adults

    Directory of Open Access Journals (Sweden)

    Hee-Kyung Joh

    2013-02-01

    Full Text Available Aim: In Korea, obesity is more prevalent among men and lower socioeconomic groups. To explain this obesity disparity, we compared weight perception and weight control behavior across gender and socioeconomic status (SES. Methods: We analyzed data from 16,260 participants aged 20 years or older in a nationally representative cross-sectional survey. SES indicators included education and income levels. Weight under-perception was defined when participants considered themselves lighter than their measured BMI status. Either no active or inappropriate weight control (i.e., trying to gain weight in obese individuals was considered to be unhealthy patterns. Multivariate prevalence ratios were calculated using log-binomial regressions. Results: Men had a higher prevalence of weight under-perception (24.5 vs. 11.9% and unhealthy patterns of weight control behavior (57 vs. 40% than women. Low education level was associated with weight under-perception (ptrend = 0.022 in men, ptrend trend trend = 0.047 in men, ptrend Conclusion: Weight perception and weight control behavior significantly varied by gender and SES. Public actions should be directed toward improving perception and behavior of high-risk populations.

  4. Influence of socioeconomic status on community-acquired pneumonia outcomes in elderly patients requiring hospitalization: a multicenter observational study

    Directory of Open Access Journals (Sweden)

    Carratalà Jordi

    2010-07-01

    Full Text Available Abstract Background The associations between socioeconomic status and community-acquired pneumonia outcomes in adults have been studied although studies did not always document a relationship. The aim of this multicenter observational study was to determine the association between socioeconomic status and community-acquired pneumonia outcomes in the elderly, in the context of a public health system providing universal free care to the whole population. Methods A total of 651 patients aged ≥65 years hospitalized due to community-acquired pneumonia through the emergency departments of five Spanish public hospitals were recruited and followed up between May 2005 and January 2007. The primary outcomes studied were: length of stay, intensive care unit admission, overall mortality and readmission. Socioeconomic status was measured using both individual and community data: occupation [categorized in six social groups (I, II, III, IVa, IVb and V], educational level (≤ primary level or ≥ secondary level and disposable family income of the municipality or district of residence [>12,500 € (high municipality family income and ≤12,500 € (low municipality family income]. The six social groups were further categorized as upper/middle social class (groups I-IVb and lower class (group V. Bivariate and multivariate analyses were performed. OR and their 95% confidence intervals were calculated. All statistical tests were two tailed and statistical significance was established as p Results 17.7% of patients lived in a municipality or district with a high municipality family income and 63.6% were upper/middle social class (I-IVb. Only 15.7% of patients had a secondary education. The adjusted analysis showed no association between pneumonia outcomes and social class, educational level or municipality family income. However, length of stay increased significantly in patients in whom the factors, living alone and being a smoker or ex-smoker coincided (p

  5. Socioeconomic status and number of children among Korean women: the Healthy Twin Study.

    Science.gov (United States)

    Kim, Jinseob; Sung, Joohon

    2013-01-01

    This study aimed to evaluate whether the birth rate is associated with socioeconomic status in the women of the Republic of Korea, where the birth rate is rapidly decreasing. This study included 732 females from the Healthy Twin Study, a family-twin cohort. The participants were classified into 3 socioeconomic groups according to their average income, education, and occupation. The association between socioeconomic status and number of children was assessed using gamma regression analysis with a generalized linear mixed model, adjusting for the age group, smoking/alcohol status, and family relationships. The group with the highest education level had significantly fewer children compared with the group with the lowest education level (p=0.004). However, no significant associations were found according to household income level. The non-manual labor group had significantly fewer children compared with those working as homemakers (p=0.008). This study aimed to explain the causal relationship between socioeconomic status and number of children. Associations between some socioeconomic status and number of children were found in Korea.

  6. Socioeconomic status and health inequalities for cardiovascular prevention among elderly Spaniards.

    Science.gov (United States)

    Mejía-Lancheros, Cília; Estruch, Ramón; Martínez-González, Miguel A; Salas-Salvadó, Jordi; Corella, Dolores; Gómez-Gracia, Enrique; Fiol, Miquel; Lapetra, José; Covas, Maria I; Arós, Fernando; Serra-Majem, Lluís; Pintó, Xavier; Basora, Josep; Sorlí, José V; Muñoz, Miguel A

    2013-10-01

    Although it is known that social factors may introduce inequalities in cardiovascular health, data on the role of socioeconomic differences in the prescription of preventive treatment are scarce. We aimed to assess the relationship between the socioeconomic status of an elderly population at high cardiovascular risk and inequalities in receiving primary cardiovascular treatment, within the context of a universal health care system. Cross-sectional study of 7447 individuals with high cardiovascular risk (57.5% women, mean age 67 years) who participated in the PREDIMED study, a clinical trial of nutritional interventions for cardiovascular prevention. Educational attainment was used as the indicator of socioeconomic status to evaluate differences in pharmacological treatment received for hypertension, diabetes, and dyslipidemia. Participants with the lowest socioeconomic status were more frequently women, older, overweight, sedentary, and less adherent to the Mediterranean dietary pattern. They were, however, less likely to smoke and drink alcohol. This socioeconomic subgroup had a higher proportion of coexisting cardiovascular risk factors. Multivariate analysis of the whole population found no differences between participants with middle and low levels of education in the drug treatment prescribed for 3 major cardiovascular risk factors (odds ratio [95% confidence interval]): hypertension (0.75 [0.56-1.00] vs 0.85 [0.65-1.10]); diabetic participants (0.86 [0.61-1.22] vs 0.90 [0.67-1.22]); and dyslipidemia (0.93 [0.75-1.15] vs 0.99 [0.82-1.19], respectively). In our analysis, socioeconomic differences did not affect the treatment prescribed for primary cardiovascular prevention in elderly patients in Spain. Free, universal health care based on a primary care model can be effective in reducing health inequalities related to socioeconomic status. Copyright © 2013 Sociedad Española de Cardiología. Published by Elsevier Espana. All rights reserved.

  7. Multivariate analysis of chromatographic retention data as a supplementary means for grouping structurally related compounds.

    Science.gov (United States)

    Fasoula, S; Zisi, Ch; Sampsonidis, I; Virgiliou, Ch; Theodoridis, G; Gika, H; Nikitas, P; Pappa-Louisi, A

    2015-03-27

    In the present study a series of 45 metabolite standards belonging to four chemically similar metabolite classes (sugars, amino acids, nucleosides and nucleobases, and amines) was subjected to LC analysis on three HILIC columns under 21 different gradient conditions with the aim to explore whether the retention properties of these analytes are determined from the chemical group they belong. Two multivariate techniques, principal component analysis (PCA) and discriminant analysis (DA), were used for statistical evaluation of the chromatographic data and extraction similarities between chemically related compounds. The total variance explained by the first two principal components of PCA was found to be about 98%, whereas both statistical analyses indicated that all analytes are successfully grouped in four clusters of chemical structure based on the retention obtained in four or at least three chromatographic runs, which, however should be performed on two different HILIC columns. Moreover, leave-one-out cross-validation of the above retention data set showed that the chemical group in which an analyte belongs can be 95.6% correctly predicted when the analyte is subjected to LC analysis under the same four or three experimental conditions as the all set of analytes was run beforehand. That, in turn, may assist with disambiguation of analyte identification in complex biological extracts. Copyright © 2015 Elsevier B.V. All rights reserved.

  8. Socioeconomic Inequalities in Mental Health of Adult Population: Serbian National Health Survey.

    Science.gov (United States)

    Santric-Milicevic, Milena; Jankovic, Janko; Trajkovic, Goran; Terzic-Supic, Zorica; Babic, Uros; Petrovic, Marija

    2016-01-01

    The global burden of mental disorders is rising. In Serbia, anxiety is the leading cause of disability-adjusted life years. Serbia has no mental health survey at the population level. The information on prevalence of mental disorders and related socioeconomic inequalities are valuable for mental care improvement. To explore the prevalence of mental health disorders and socioeconomic inequalities in mental health of adult Serbian population, and to explore whether age years and employment status interact with mental health in urban and rural settlements. Cross-sectional study. This study is an additional analysis of Serbian Health Survey 2006 that was carried out with standardized household questionnaires at the representative sample of 7673 randomly selected households - 15563 adults. The response rate was 93%. A multivariate logistic regression modeling highlighted the predictors of the 5 item Mental Health Inventory (MHI-5), and of chronic anxiety or depression within eight independent variables (age, gender, type of settlement, marital status and self-perceived health, education, employment status and Wealth Index). The significance level in descriptive statistics, chi square analysis and bivariate and multivariate logistic regressions was set at pinequalities contributed by differences in age, education, employment, marriage and the wealth status of the adult population.

  9. Socioeconomic differences in risk of myocardial infarction 1971-1994 in Sweden

    DEFF Research Database (Denmark)

    Hallqvist, J; Lundberg, Mats; Diderichsen, Finn

    1998-01-01

    The general trend in incidence of myocardial infarction (MI) in the Stockholm area changed from increasing to decreasing around 1980. The objective of this study is to examine time trends in incidence in major socioeconomic strata, relative risk between socioeconomic groups and population risk...... attributable to socioeconomic differences during this period....

  10. DETERMINING INDICATORS OF URBAN HOUSEHOLD WATER CONSUMPTION THROUGH MULTIVARIATE STATISTICAL TECHNIQUES

    Directory of Open Access Journals (Sweden)

    Gledsneli Maria Lima Lins

    2010-12-01

    Full Text Available Water has a decisive influence on populations’ life quality – specifically in areas like urban supply, drainage, and effluents treatment – due to its sound impact over public health. Water rational use constitutes the greatest challenge faced by water demand management, mainly with regard to urban household water consumption. This makes it important to develop researches to assist water managers and public policy-makers in planning and formulating water demand measures which may allow urban water rational use to be met. This work utilized the multivariate techniques Factor Analysis and Multiple Linear Regression Analysis – in order to determine the participation level of socioeconomic and climatic variables in monthly urban household consumption changes – applying them to two districts of Campina Grande city (State of Paraíba, Brazil. The districts were chosen based on socioeconomic criterion (income level so as to evaluate their water consumer’s behavior. A 9-year monthly data series (from year 2000 up to 2008 was utilized, comprising family income, water tariff, and quantity of household connections (economies – as socioeconomic variables – and average temperature and precipitation, as climatic variables. For both the selected districts of Campina Grande city, the obtained results point out the variables “water tariff” and “family income” as indicators of these district’s household consumption.

  11. Segmented socioeconomic adaptation of New Eastern European professionals in the United States.

    Science.gov (United States)

    Michalikova, Nina

    2018-01-01

    This study examines the socioeconomic adaptation of post-1991 Eastern European professionals in the United States. The data were obtained from the pooled 2006-2010 American Community Surveys. The analysis includes recent immigrants between ages of 25-65 who have at least an associate's degree. Skilled immigrants in professional or managerial occupations are compared with non-professionals or managers to examine and compare socioeconomic outcomes. The findings presented in this study support the segmented assimilation theory and reveal cross-group and cross-country disparities in socioeconomic adaptation. Despite the high amount of human capital, Eastern European skilled immigrants tend to have a lower share of professionals and managers than other groups. Their average income is lower than the income of some other groups in the analysis, especially immigrants from Northern and Western Europe, suggesting these immigrants experience difficulties in transferring human capital. Among the three largest Eastern European groups - Russia, Ukraine, and Poland - there is a clear hierarchy in socioeconomic status with Russian professionals having the highest educational attainment and income, followed by immigrants from Ukraine and Poland. Results also revealed gender differences in socioeconomic adaptation. Women from Eastern Europe are highly professional, but they tend to be concentrated in different occupations than men, leading to a significant gender-wage gap. The effect of selected individual and country-level characteristics on skilled immigrants' socioeconomic adaptation is discussed.

  12. Socioeconomic determinants of health. The contribution of nutrition to inequalities in health.

    Science.gov (United States)

    James, W P; Nelson, M; Ralph, A; Leather, S

    1997-05-24

    Social class differences in health are seen at all ages, with lower socioeconomic groups having greater incidence of premature and low birthweight babies, heart disease, stroke, and some cancers in adults. Risk factors including lack of breast feeding, smoking, physical inactivity, obesity, hypertension, and poor diet are clustered in the lower socioeconomic groups. The diet of the lower socioeconomic groups provides cheap energy from foods such as meat products, full cream milk, fats, sugars, preserves, potatoes, and cereals but has little intake of vegetables, fruit, and wholewheat bread. This type of diet is lower in essential nutrients such as calcium, iron, magnesium, folate, and vitamin C than that of the higher socioeconomic groups. New nutritional knowledge on the protective role of antioxidants and other dietary factors suggests that there is scope for enormous health gain if a diet rich in vegetables, fruit, unrefined cereal, fish, and small quantities of quality vegetable oils could be more accessible to poor people.

  13. What is different about workers' compensation patients? Socioeconomic predictors of baseline disability status among patients with lumbar radiculopathy.

    Science.gov (United States)

    Atlas, Steven J; Tosteson, Tor D; Hanscom, Brett; Blood, Emily A; Pransky, Glenn S; Abdu, William A; Andersson, Gunnar B; Weinstein, James N

    2007-08-15

    Combined analysis of 2 prospective clinical studies. To identify socioeconomic characteristics associated with workers' compensation in patients with an intervertebral disc herniation (IDH) or spinal stenosis (SpS). Few studies have compared socioeconomic differences between those receiving or not receiving workers' compensation with the same underlying clinical conditions. Patients were identified from the Spine Patient Outcomes Research Trial (SPORT) and the National Spine Network (NSN) practice-based outcomes study. Patients with IDH and SpS within NSN were identified satisfying SPORT eligibility criteria. Information on disability and work status at baseline evaluation was used to categorize patients into 3 groups: workers' compensation, other disability compensation, or work-eligible controls. Enrollment rates of patients with disability in a clinical efficacy trial (SPORT) and practice-based network (NSN) were compared. Independent socioeconomic predictors of baseline workers' compensation status were identified in multivariate logistic regression models controlling for clinical condition, study cohort, and initial treatment designation. Among 3759 eligible patients (1480 in SPORT and 2279 in NSN), 564 (15%) were receiving workers' compensation, 317 (8%) were receiving other disability compensation, and 2878 (77%) were controls. Patients receiving workers' compensation were less common in SPORT than NSN (9.2% vs. 18.8%, P socioeconomic characteristics significantly differed according to baseline workers' compensation status. In multiple logistic regression analyses, gender, educational level, work characteristics, legal action, and expectations about ability to work without surgery were independently associated with receiving workers' compensation. Clinical trials involving conditions commonly seen in patients with workers' compensation may need special efforts to ensure adequate representation. Socioeconomic characteristics markedly differed between patients

  14. Socioeconomic inequalities in smoking habits are still increasing in Italy.

    Science.gov (United States)

    Verlato, Giuseppe; Accordini, Simone; Nguyen, Giang; Marchetti, Pierpaolo; Cazzoletti, Lucia; Ferrari, Marcello; Antonicelli, Leonardo; Attena, Francesco; Bellisario, Valeria; Bono, Roberto; Briziarelli, Lamberto; Casali, Lucio; Corsico, Angelo Guido; Fois, Alessandro; Panico, MariaGrazia; Piccioni, Pavilio; Pirina, Pietro; Villani, Simona; Nicolini, Gabriele; de Marco, Roberto

    2014-08-27

    Socioeconomic inequalities in smoking habits have stabilized in many Western countries. This study aimed at evaluating whether socioeconomic disparities in smoking habits are still enlarging in Italy and at comparing the impact of education and occupation. In the frame of the GEIRD study (Gene Environment Interactions in Respiratory Diseases) 10,494 subjects, randomly selected from the general population aged 20-44 years in seven Italian centres, answered a screening questionnaire between 2007 and 2010 (response percentage = 57.2%). In four centres a repeated cross-sectional survey was performed: smoking prevalence recorded in GEIRD was compared with prevalence recorded between 1998 and 2000 in the Italian Study of Asthma in Young Adults (ISAYA). Current smoking was twice as prevalent in people with a primary/secondary school certificate (40-43%) compared with people with an academic degree (20%), and among unemployed and workmen (39%) compared with managers and clerks (20-22%). In multivariable analysis smoking habits were more affected by education level than by occupation. From the first to the second survey the prevalence of ever smokers markedly decreased among housewives, managers, businessmen and free-lancers, while ever smoking became even more common among unemployed (time-occupation interaction: p = 0.047). At variance, the increasing trend in smoking cessation was not modified by occupation. Smoking prevalence has declined in Italy during the last decade among the higher socioeconomic classes, but not among the lower. This enlarging socioeconomic inequality mainly reflects a different trend in smoking initiation.

  15. [The influence of socio-economic conditions in renal posttransplant infection].

    Science.gov (United States)

    Ianhez, L E; Sampaio, M; Chocair, P R; Fonseca, J A; Sabbaga, E

    1993-01-01

    Two hundred and four patients who underwent renal transplantation were followed up as outpatients with a minimum of four years. They were divided into two socio-economic levels: group I - 104 patients who underwent transplantation in a private hospital and 120 patients (group II) with a lower socio-economic standard, treated in a public hospital. In both groups urinary infections and hepatitis were excluded. The incidence of infection in group I was 24% and in group II, 50% (p = 0.0002). There was no difference in relation to viral infection in either groups. However, bacterial infection and infection by opportunistic agents were significantly higher in group II (p = 0.0001 and p = 0.0282). The number of hospitalizations and the number of infections of patients were higher in group II. There was a tendency for an increase in mortality owing to infection in group II. There was no difference in the two groups as the parameters of: age, sex, type of donor, primary disease, number of rejections crises, level of serum creatinine and number of patients with ciclosporine. On the other hand, the dose of azathioprine and prednisone was mildly higher in those patients of group II. Low level of socio-economic conditions is a risk factor in renal transplant patients.

  16. ONWI socioeconomic activities in support of SRPO socioeconomic program

    International Nuclear Information System (INIS)

    1986-03-01

    The introduction describes the purpose of ONWI's Socioeconomic Program for SRPO nuclear waste repository program and the organization within ONWI dedicated to socioeconomic activities. Chapter 2 of this report, Statutory Requirements and Mission Plan Strategy, documents the specific directives and guidelines contained in the NWPA and in the Mission Plan that define DOE's socioeconomic responsibilities. Chapter 3, ONWI Socioeconomic Objectives and Activities to Assist SRPO, describes ONWI's socioeconomic objectives and provides a detailed discussion of the major activities planned to assist SRPO in the impact assessment, mitigation, and monitoring phases of the program. Chapter 4 lists references cited in the report. 15 refs., 8 figs., 3 tabs

  17. Understanding gendered aspects of migration aspiration and motives of university students by multivariate statistical methods

    Directory of Open Access Journals (Sweden)

    Đula Borozan

    2014-03-01

    Full Text Available The paper deals with the application of multivariate analysis of variance and logistic regression in measuring, explaining and evaluating (i gender differences in expressing migration aspirations, and (ii a gender effect on migration motivation of university students in Croatia. The results supported the thesis that migration is a complex gendering process that assumes subjective assessment of the whole set of interrelated motives. According to logistic regression, gender is a significant predictor of migration aspirations among the selected demographic and socio-economic variables. A multivariate analysis of variance showed that gender and migration aspirations in interaction matter when it comes to migration motives, particularly related to the perceived importance of social networks. Females, and especially those who aspire to migrate, assessed these motives as more important than males.

  18. Socio-Economic Analysis Of Cooperative Business Management In ...

    African Journals Online (AJOL)

    groups. Given the high relevance of cooperatives as instruments of economic self reliance and empowerment, policy initiatives that would strengthen these groups are recommended.. Keywords: Economic rationality, Socio-economic differential, Group formation. Journal of Agriculture and Food Sciences Vol. 5 (1) 2007: pp.

  19. Socioeconomic disparities in the mental health of Indigenous children in Western Australia

    Directory of Open Access Journals (Sweden)

    Shepherd Carrington CJ

    2012-09-01

    Full Text Available Abstract Background The burden of mental health problems among Aboriginal and Torres Strait Islander children is a major public health problem in Australia. While socioeconomic factors are implicated as important determinants of mental health problems in mainstream populations, their bearing on the mental health of Indigenous Australians remains largely uncharted across all age groups. Methods We examined the relationship between the risk of clinically significant emotional or behavioural difficulties (CSEBD and a range of socioeconomic measures for 3993 Indigenous children aged 4–17 years in Western Australia, using a representative survey conducted in 2000–02. Analysis was conducted using multivariate logistic regression within a multilevel framework. Results Almost one quarter (24% of Indigenous children were classified as being at high risk of CSEBD. Our findings generally indicate that higher socioeconomic status is associated with a reduced risk of mental health problems in Indigenous children. Housing quality and tenure and neighbourhood-level disadvantage all have a strong direct effect on child mental health. Further, the circumstances of families with Indigenous children (parenting quality, stress, family composition, overcrowding, household mobility, racism and family functioning emerged as an important explanatory mechanism underpinning the relationship between child mental health and measures of material wellbeing such as carer employment status and family financial circumstances. Conclusions Our results provide incremental evidence of a social gradient in the mental health of Aboriginal and Torres Strait Islander children. Improving the social, economic and psychological conditions of families with Indigenous children has considerable potential to reduce the mental health inequalities within Indigenous populations and, in turn, to close the substantial racial gap in mental health. Interventions that target housing quality, home

  20. Socio-economic status and overall and cause-specific mortality in Sweden

    Directory of Open Access Journals (Sweden)

    Sundquist Jan

    2008-09-01

    Full Text Available Abstract Background Previous studies have reported discrepancies in cause-specific mortality among groups of individuals with different socio-economic status. However, most of the studies were limited by the specificity of the investigated populations and the broad definitions of the causes of death. The aim of the present population-based study was to explore the dependence of disease specific mortalities on the socio-economic status in Sweden, a country with universal health care. Another aim was to investigate possible gender differences. Methods Using the 2006 update of the Swedish Family-Cancer Database, we identified over 2 million individuals with socio-economic data recorded in the 1960 national census. The association between mortality and socio-economic status was investigated by Cox's proportional hazards models taking into account the age, time period and residential area in both men and women, and additionally parity and age at first birth in women. Results We observed significant associations between socio-economic status and mortality due to cardiovascular diseases, respiratory diseases, to cancer and to endocrine, nutritional and metabolic diseases. The influence of socio-economic status on female breast cancer was markedly specific: women with a higher socio-economic status showed increased mortality due to breast cancer. Conclusion Even in Sweden, a country where health care is universally provided, higher socio-economic status is associated with decreased overall and cause-specific mortalities. Comparison of mortality among female and male socio-economic groups may provide valuable insights into the underlying causes of socio-economic inequalities in length of life.

  1. Variation in the risk for liver and gallbladder cancers in socioeconomic and occupational groups in Sweden with etiological implications.

    Science.gov (United States)

    Ji, Jianguang; Hemminki, Kari

    2005-09-01

    To examine the associations between socioeconomic/occupational factors and liver cancer at various anatomic sites (including primary liver, gallbladder and other cancers). We carried out a follow-up study on the economically active Swedish population, based on the Swedish Family-Cancer Database. Standardized incidence ratios (SIRs) and 95% confidence intervals (CIs) were calculated in different social classes and occupations. For primary liver cancer, farmers were at a decreased risk; increased risks were observed for male sales agents, journalists, seamen, waiters, cooks and female beverage manufacture workers. Similar patterns were observed for gallbladder cancer; workers employed as journalists, sales agents, cooks and stewards, and public safety workers showed increased risk. Only male transport workers showed increased risk of cancers in other parts. Occupations with high consumption of alcohol and/or high prevalence of smoking associated with a risk of liver and gallbladder cancers. The present study suggests that the effects of socioeconomic factors on liver cancer of different subsites are similar; alcohol drinking is a risk factor of gallbladder cancer because of the covariation of primary liver and gallbladder cancers in occupational groups.

  2. Material, behavioural, cultural and psychosocial factors in the explanation of socioeconomic inequalities in oral health.

    Science.gov (United States)

    Duijster, Denise; Oude Groeniger, Joost; van der Heijden, Geert J M G; van Lenthe, Frank J

    2017-12-19

    This study aimed to assess the contribution of material, behavioural, cultural and psychosocial factors in the explanation of socioeconomic inequalities (education and income) in oral health of Dutch adults. Cross-sectional data from participants (25-75 years of age) of the fifth wave of the GLOBE cohort were used (n = 2812). Questionnaires were used to obtain data on material factors (e.g. financial difficulties), behavioural factors (e.g. smoking), cultural factors (e.g. cultural activities) and psychosocial factors (e.g. psychological distress). Oral health outcomes were self-reported number of teeth and self-rated oral health (SROH). Mediation analysis, using multivariable negative binomial regression and logistic regression, was performed. Education level and income showed a graded positive relationship with both oral health outcomes. Adding material, behavioural, cultural and psychosocial factors substantially reduced the rate ratio for the number of teeth of the lowest education group from 0.79 (95% confidence interval (CI): 0.75-0.83) to 0.92 (95% CI: 0.87-0.97) and of the lowest income group from 0.80 (95% CI: 0.73-0.88) to 1.04 (95% CI: 0.96-1.14). Inclusion of all factors also substantially reduced the odds ratio for poor SROH of the lowest education group from 1.61 (95% CI: 1.28-2.03) to 1.12 (95% CI: 0.85-1.48) and of the lowest income groups from 3.18 (95% CI: 2.13-4.74) to 1.48 (95% CI: 0.90-2.45). In general, behavioural factors contributed most to the explanation of socioeconomic inequalities in adult oral health, followed by material factors. The contribution of cultural and psychosocial factors was relatively moderate. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association.

  3. Socioeconomic disparities in work performance following mild stroke.

    Science.gov (United States)

    Brey, Joseph K; Wolf, Timothy J

    2015-01-01

    The purpose of this study was to investigate the relationships among the factors that influence return to work for young individuals with mild stroke from different socioeconomic backgrounds. Prospective cohort study of working adults with mild stroke (N = 21). Participants completed an assessment battery of cognitive, work environment and work performance measures at approximately 3 weeks and 7 months post mild stroke. Individuals were placed in "skilled" and "unskilled" worker categories based on the Hollingshead Index. Unskilled workers had significantly poorer scores on the majority of the cognitive assessments. Unskilled workers also perceived less social support (p = 0.017) and autonomy (p = 0.049) in work responsibilities than individuals in the skilled worker group and also reported significantly poorer work productivity due to stroke than those in the skilled group (p = 0.015). Individuals from low socioeconomic backgrounds have more difficulty returning to work following mild stroke than individuals from higher socioeconomic backgrounds. Future work is needed to identify factors that can increase long-term work success and quality of work performance following a mild stroke that specifically targets the needs of individuals who have a lower socioeconomic status.

  4. Gender ideologies, socioeconomic opportunities, and HIV/STI-related vulnerability among female, African-American adolescents.

    Science.gov (United States)

    Kerrigan, Deanna; Andrinopoulos, Katherine; Chung, Shang-en; Glass, Barbara; Ellen, Jonathan

    2008-09-01

    The importance of gender within HIV/STI prevention has become widely recognized. However, gender ideologies associated with vulnerability to HIV/STI are often examined and addressed without sufficient attention to the larger socioeconomic context within which they arise and evolve. We conducted a cross-sectional survey with 155 female, African-American adolescents recruited from two health clinics in Baltimore, Maryland. Multivariate logistic regression was utilized to assess the relationships between HIV/STI vulnerability resulting from male partner concurrency, adherence to traditional female gender norms, using a measure of hyperfemininity, and perceived socioeconomic opportunity structures. The likelihood of reported partner concurrency increased significantly among participants reporting higher levels of hyperfemininity (OR = 2.08; 95%CI = 1.01-4.30). Hyperfeminine thinking and behavior was significantly lower in the context of higher perceived socioeconomic opportunity structures (OR = 0.87; 95%CI = 0.79-0.95). Interventions seeking to promote gender equity and reduce HIV/STI may be more effective when the socioeconomic context of gender ideologies is assessed and addressed. Programs and policies to increase educational and professional opportunity structures, particularly among marginalized communities, should be actively integrated into HIV/STI prevention planning.

  5. Socioeconomic determinants of first names

    NARCIS (Netherlands)

    Bloothooft, G.; Onland, D.

    2011-01-01

    Modern naming practices in the Netherlands between 1982 and 2005 were studied on the basis of 1409 popular first names, divided into fourteen name groups determined by the common preferences of parents for the names involved. Socioeconomic variables such as family income, parents' level of

  6. A socioeconomic profile of vulnerable land to desertification in Italy.

    Science.gov (United States)

    Salvati, Luca

    2014-01-01

    Climate changes, soil vulnerability, loss in biodiversity, and growing human pressure are threatening Mediterranean-type ecosystems which are increasingly considered as a desertification hotspot. In this region, land vulnerability to desertification strongly depends on the interplay between natural and anthropogenic factors. The present study proposes a multivariate exploratory analysis of the relationship between the spatial distribution of land vulnerability to desertification and the socioeconomic contexts found in three geographical divisions of Italy (north, center and south) based on statistical indicators. A total of 111 indicators describing different themes (demography, human settlements, labor market and human capital, rural development, income and wealth) were used to discriminate vulnerable from non-vulnerable areas. The resulting socioeconomic profile of vulnerable areas in northern and southern Italy diverged significantly, the importance of demographic and economic indicators being higher in southern Italy than in northern Italy. On the contrary, human settlement indicators were found more important to discriminate vulnerable and non-vulnerable areas in northern Italy, suggesting a role for peri-urbanization in shaping the future vulnerable areas. An in-depth knowledge of the socioeconomic characteristics of vulnerable land may contribute to scenarios' modeling and the development of more effective policies to combat desertification. © 2013 Elsevier B.V. All rights reserved.

  7. Socio-Economic Determinants of the Need for Dental Care in Adults.

    Science.gov (United States)

    Trohel, Gilda; Bertaud-Gounot, Valérie; Soler, Marion; Chauvin, Pierre; Grimaud, Olivier

    2016-01-01

    Oral health has improved in France. However, there are still inequalities related to the socio-economic status. The aim of this study was to measure the prevalence of dental care needs in an adult population and to identify the demographic, socio-economic and behavioral variables that may explain variations in this parameter. A cross-sectional analysis of the French SIRS cohort (n = 2,997 adults from the Paris region; 2010 data) was carried out to determine the prevalence of self-reported dental care needs relative to demographic, socio-economic and behavioral variables. A logistic regression model was used to identify the variables that were most strongly associated with the level of need. In 2010, the prevalence of the need for dental care in the SIRS cohort was 35.0% (95% CI [32.3-37.8]). It was lower in people with higher education levels (31.3% [27.9-34.6]), without immigrant background (31.3% [28.0-34.6]) and with comprehensive health insurance (social security + complementary health cover; 32.8% [30.2-35.4]). It decreased as the socio-economic status increased, but without following a strict linear change. It was also lower among individuals who had a dental check-up visit in the previous two years. In multivariate analyses, the socioeconomic variables most strongly associated with the need for dental care were: educational attainment (OR = 1.21 [1.02-1.44]), income level (OR = 1.66 [1.92-2.12]) and national origin (OR = 1.53 [1.26-1.86]). These results confirm that the prevalence of dental care needs is higher among adults with low socio-economic status. Education level, income level and also national origin were more strongly associated with the need for dental care than insurance cover level.

  8. Estimating attendance for breast cancer screening in ethnic groups in London.

    Science.gov (United States)

    Renshaw, Christine; Jack, Ruth H; Dixon, Steve; Møller, Henrik; Davies, Elizabeth A

    2010-03-25

    Breast screening uptake in London is below the Government's target of 70% and we investigate whether ethnicity affects this. Information on the ethnicity for the individual women invited is unavailable, so we use an area-based method similar to that routinely used to derive a geographical measure for socioeconomic deprivation. We extracted 742,786 observations on attendance for routine appointments between 2004 and 2007 collected by the London Quality Assurance Reference Centre. Each woman was assigned to a lower super output (LSOA) based on her postcode of residence. The proportions of the ethnic groups within each LSOA are known, so that the likelihood of a woman belonging to White, Black and Asian groups can be assigned. We investigated screening attendance by age group, socioeconomic deprivation using the Index of Deprivation 2004 income quintile, invitation type and breast screening service. Using logistic regression analysis we calculated odds ratios for attendance based on ethnic composition of the population, adjusting for age, socioeconomic status, the invitation type and screening service. The unadjusted attendance odds ratios were high for the White population (OR: 3.34 95% CI [3.26-3.42]) and low for the Black population (0.13 [0.12-0.13]) and the Asian population (0.55 [0.53-0.56]). Multivariate adjustment reduced the differences, but the Black population remained below unity (0.47 [0.44-0.50]); while the White (1.30 [1.26-1.35]) and Asian populations (1.10 [1.05-1.15]) were higher. There was little difference in the attendance between age groups. Attendance was highest for the most affluent group and fell sharply with increasing deprivation. For invitation type, the routine recall was higher than the first call. There were wide variations in the attendance for different ethnic groups between the individual screening services. Overall breast screening attendance is low in communities with large Black populations, suggesting the need to improve

  9. To what extent does IQ 'explain' socio-economic variations in function?

    Directory of Open Access Journals (Sweden)

    van Eijk Jacques

    2007-07-01

    Full Text Available Abstract Background The aims of this study were to examine the extent to which higher intellectual abilities protect higher socio-economic groups from functional decline and to examine whether the contribution of intellectual abilities is independent of childhood deprivation and low birth weight and other socio-economic and developmental factors in early life. Methods The Maastricht Aging Study (MAAS is a prospective cohort study based upon participants in a registration network of general practices in The Netherlands. Information was available on 1211 men and women, 24 – 81 years old, who were without cognitive impairment at baseline (1993 – 1995, who ever had a paid job, and who participated in the six-year follow-up. Main outcomes were longitudinal decline in important components of quality of life and successful aging, i.e., self-reported physical, affective, and cognitive functioning. Results Persons with a low occupational level at baseline showed more functional decline than persons with a high occupational level. Socio-economic and developmental factors from early life hardly contributed to the adult socio-economic differences in functional decline. Intellectual abilities, however, took into account more than one third of the association between adult socio-economic status and functional decline. The contribution of the intellectual abilities was independent of the early life factors. Conclusion Rather than developmental and socio-economic characteristics of early life, the findings substantiate the importance of intellectual abilities for functional decline and their contribution – as potential, but neglected confounders – to socio-economic differences in functioning, successful aging, and quality of life. The higher intellectual abilities in the higher socio-economic status groups may also underlie the higher prevalences of mastery, self-efficacy and efficient coping styles in these groups.

  10. [Intelligence and the explanation for socio-economic inequalities in health].

    Science.gov (United States)

    Huisman, M; Mackenbach, J P

    2007-05-12

    Attention is increasingly being paid to the role of cognitive ability to explain socio-economic inequalities in health. The universal socio-economic gradient in health, where each rung lower on the socio-economic ladder implies worse health, has still not been satisfactorily explained scientifically. Because cognitive ability is related to a multitude of social outcomes in a similarly graded manner, hypothesising that cognitive ability plays a major role in health inequalities by socio-economic status is appealing. Recent empirical studies have shown that at least part of socio-economic health inequalities can indeed be explained by differences in cognitive ability. However, this does not imply that we should be pessimistic about future attempts to break the chain that links socio-economic status and cognitive ability with health. During some life stages, environmental factors may be able to influence cognitive ability. Interventions may therefore be targeted in order to optimize these effects. In addition, there is evidence that cognitive ability is correlated with health-related behaviours such as smoking, excessive alcohol consumption and obesity. Therefore, another opportunity for reducing health inequalities related to cognitive ability and socio-economic status would be to develop tailored interventions to improve health-related behaviours in disadvantaged groups. However, the first priority is to further investigate the role of cognitive ability in health inequalities by examining various health outcomes, different age groups and variations across the life course.

  11. Robust multivariate analysis

    CERN Document Server

    J Olive, David

    2017-01-01

    This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given.  The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory.   The robust techniques  are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis.  A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with...

  12. In-Between Fatalism and Leverage: The Different Effects of Socioeconomic Variables on Students' Civic and Political Experiences and Literacy

    Science.gov (United States)

    Malafaia, Carla; Neves, Tiago; Menezes, Isabel

    2017-01-01

    Purpose: This article explores the classical relationship between socioeconomic status and political domains, and the need to include different variables (contextual and individual) to measure the effect of economic and cultural capitals on youth participation and knowledge. Method: A multivariate analysis of covariance was performed on a sample…

  13. Race, Socioeconomic Status, and Health during Childhood: A Longitudinal Examination of Racial/Ethnic Differences in Parental Socioeconomic Timing and Child Obesity Risk.

    Science.gov (United States)

    Jones, Antwan

    2018-04-11

    Prior research suggests that socioeconomic standing during the early years of life, particularly in utero, is associated with child health. However, it is unclear whether socioeconomic benefits are only maximized at very young ages. Moreover, given the link between socioeconomic status (SES) and race, research is inconclusive whether any SES benefits during those younger ages would uniformly benefit all racial and ethnic groups. Using 1986-2014 data from the National Longitudinal Study of Youth (NLSY79), this study examines the impact of socioeconomic timing on child weight outcomes by race. Specifically, this research investigates whether specific points exist where socioeconomic investment would have higher returns on child health. Findings suggest that both the timing and the type of socioeconomic exposure is important to understanding child weight status. SES, particularly mother's employment and father's education, is important in determining child health, and each measure is linked to weight gain differently for White, Black, and Hispanic children at specific ages. Policies such as granting more educational access for men and work-family balance for women are discussed.

  14. Race, Socioeconomic Status, and Health during Childhood: A Longitudinal Examination of Racial/Ethnic Differences in Parental Socioeconomic Timing and Child Obesity Risk

    Directory of Open Access Journals (Sweden)

    Antwan Jones

    2018-04-01

    Full Text Available Prior research suggests that socioeconomic standing during the early years of life, particularly in utero, is associated with child health. However, it is unclear whether socioeconomic benefits are only maximized at very young ages. Moreover, given the link between socioeconomic status (SES and race, research is inconclusive whether any SES benefits during those younger ages would uniformly benefit all racial and ethnic groups. Using 1986–2014 data from the National Longitudinal Study of Youth (NLSY79, this study examines the impact of socioeconomic timing on child weight outcomes by race. Specifically, this research investigates whether specific points exist where socioeconomic investment would have higher returns on child health. Findings suggest that both the timing and the type of socioeconomic exposure is important to understanding child weight status. SES, particularly mother’s employment and father’s education, is important in determining child health, and each measure is linked to weight gain differently for White, Black, and Hispanic children at specific ages. Policies such as granting more educational access for men and work-family balance for women are discussed.

  15. Socioeconomic deprivation and survival after stroke: findings from the prospective South London Stroke Register of 1995 to 2011.

    Science.gov (United States)

    Chen, Ruoling; McKevitt, Christopher; Rudd, Anthony G; Wolfe, Charles D A

    2014-01-01

    Previous findings of the association between socioeconomic deprivation (SED) and survival after stroke are inconsistent. There is less investigation on long-term survival. We assessed the associations in a multi-ethnic population in England. We examined data from 4398 patients (3103 whites, 932 blacks, and 253 Asians/others) with first-ever stroke, collected by a population-based stroke register in South London from 1995 to 2011. SED was measured using the Carstairs index score-the higher score, the more deprived. It was analyzed in multivariate Cox regression models in relation to survival after stroke. During 17-year follow-up 2754 patients died. The quartile data of Carstairs score showed no significant association of SED with survival in patients, except for black Caribbeans and Africans. Black patients with the fourth quartile SED had a multivariate adjusted hazard ratio of 1.76 (95% confidence interval, 1.06-2.94) for 3-month mortality and 1.54 (1.00-2.37) for 1-year mortality. After adjustment for acute stroke care provisions, these were no longer significant. However, the sextile data of Carstairs score showed a consistent association of SED with survival after stroke; all patients with the sixth sextile had a fully adjusted hazard ratio of 1.23 (1.05-1.44) for 3-month mortality and 1.13 (1.01-1.25) for 17-year mortality. There is a weak but significant association of SED with reduced survival after stroke in England. SED in blacks may have a stronger impact on short-term survival when compared with white patients. Further efforts are required to achieve equality in survival among patients with stroke of different socioeconomic groups.

  16. Influences of gender and socioeconomic status on the motor proficiency of children in the UK.

    Science.gov (United States)

    Morley, David; Till, Kevin; Ogilvie, Paul; Turner, Graham

    2015-12-01

    As the development of movement skills are so crucial to a child's involvement in lifelong physical activity and sport, the purpose of this study was to assess the motor proficiency of children aged 4-7 years (range=4.3-7.2 years), whilst considering gender and socioeconomic status. 369 children (176 females, 193 males, aged=5.96 ± 0.57 years) were assessed for fine motor precision, fine motor integration, manual dexterity, bilateral co-ordination, balance, speed and agility, upper-limb co-ordination and strength. The average standard score for all participants was 44.4 ± 8.9, classifying the participants towards the lower end of the average score. Multivariate analysis of covariance identified significant effects for gender (pdifferences evident between gender and socioeconomic status. Teachers and sport coaches working with primary aged children should concentrate on the development of movement skills, whilst considering differences between genders and socioeconomic status. Crown Copyright © 2015. Published by Elsevier B.V. All rights reserved.

  17. The Interplay between socioeconomic inequalities and clinical oral health.

    Science.gov (United States)

    Steele, J; Shen, J; Tsakos, G; Fuller, E; Morris, S; Watt, R; Guarnizo-Herreño, C; Wildman, J

    2015-01-01

    Oral health inequalities associated with socioeconomic status are widely observed but may depend on the way that both oral health and socioeconomic status are measured. Our aim was to investigate inequalities using diverse indicators of oral health and 4 socioeconomic determinants, in the context of age and cohort. Multiple linear or logistic regressions were estimated for 7 oral health measures representing very different outcomes (2 caries prevalence measures, decayed/missing/filled teeth, 6-mm pockets, number of teeth, anterior spaces, and excellent oral health) against 4 socioeconomic measures (income, education, Index of Multiple Deprivation, and occupational social class) for adults aged ≥21 y in the 2009 UK Adult Dental Health Survey data set. Confounders were adjusted and marginal effects calculated. The results showed highly variable relationships for the different combinations of variables and that age group was critical, with different relationships at different ages. There were significant income inequalities in caries prevalence in the youngest age group, marginal effects of 0.10 to 0.18, representing a 10- to 18-percentage point increase in the probability of caries between the wealthiest and every other quintile, but there was not a clear gradient across the quintiles. With number of teeth as an outcome, there were significant income gradients after adjustment in older groups, up to 4.5 teeth (95% confidence interval, 2.2-6.8) between richest and poorest but none for the younger groups. For periodontal disease, income inequalities were mediated by other socioeconomic variables and smoking, while for anterior spaces, the relationships were age dependent and complex. In conclusion, oral health inequalities manifest in different ways in different age groups, representing age and cohort effects. Income sometimes has an independent relationship, but education and area of residence are also contributory. Appropriate choices of measures in relation to age

  18. Mulch materials in processing tomato: a multivariate approach

    Directory of Open Access Journals (Sweden)

    Marta María Moreno

    2013-08-01

    Full Text Available Mulch materials of different origins have been introduced into the agricultural sector in recent years alternatively to the standard polyethylene due to its environmental impact. This study aimed to evaluate the multivariate response of mulch materials over three consecutive years in a processing tomato (Solanum lycopersicon L. crop in Central Spain. Two biodegradable plastic mulches (BD1, BD2, one oxo-biodegradable material (OB, two types of paper (PP1, PP2, and one barley straw cover (BS were compared using two control treatments (standard black polyethylene [PE] and manual weed control [MW]. A total of 17 variables relating to yield, fruit quality, and weed control were investigated. Several multivariate statistical techniques were applied, including principal component analysis, cluster analysis, and discriminant analysis. A group of mulch materials comprised of OB and BD2 was found to be comparable to black polyethylene regarding all the variables considered. The weed control variables were found to be an important source of discrimination. The two paper mulches tested did not share the same treatment group membership in any case: PP2 presented a multivariate response more similar to the biodegradable plastics, while PP1 was more similar to BS and MW. Based on our multivariate approach, the materials OB and BD2 can be used as an effective, more environmentally friendly alternative to polyethylene mulches.

  19. There is a Positive Correlation Between Socioeconomic Status and Ovarian Reserve in Women of Reproductive Age.

    Science.gov (United States)

    Barut, Mert Ulas; Agacayak, Elif; Bozkurt, Murat; Aksu, Tarık; Gul, Talip

    2016-11-16

    BACKGROUND The purpose of this study was to investigate the potential association between socioeconomic status and ovarian reserve, anti-Mullerian hormone level, antral follicle count, and follicle stimulating hormone level in women of reproductive age. MATERIAL AND METHODS A total of 101 married women between 20-35 years of age who presented to the Department of Obstetrics and Gynecology, Health Research System In Vitro Fertilization (HRS IVF) Center between October 2014 and November 2015 and met the inclusion criteria were included in this study. The participants were divided into three socioeconomic groups using Kuppuswamy's socioeconomic status scale. Thirty-one participants were assigned to the low socioeconomic status group, 37 to the middle socioeconomic status group, and 33 to the high socioeconomic status group. On days 3-6 of the menstrual cycle, 10 mL of blood was collected from the participants for follicle stimulating hormone and anti-Mullerian hormone measurements. Transvaginal ultrasonography was performed for both ovaries for the purpose of counting antral follicles measuring 2-10 mm in diameter. RESULTS Both ovarian reserve parameters, namely anti-Mullerian hormone level and antral follicle count, exhibited a significant association with socioeconomic status (p=0.000 and p=0.000, respectively). The association between follicle stimulating hormone level and socioeconomic status was also significant (p=0.000). CONCLUSIONS A low socioeconomic status aggravated by sources of stress such as undernutrition and financial hardships affects ovarian reserve, which should be remembered in approaching infertile patients.

  20. Multivariate areal analysis of the impact and efficiency of the family planning programme in peninsular Malaysia.

    Science.gov (United States)

    Tan Boon Ann

    1987-06-01

    The findings of the final phase of a 3-phase multivariate areal analysis study undertaken by the Economic and Social Commission for Asia and the Pacific (ESCAP) in 5 countries of the Asian and Pacific Region, including Malaysia, to examine the impact of family planning programs on fertility and reproduction are reported. The study used Malaysia's administrative district as the unit of analysis because the administration and implementation of socioeconomic development activities, as well as the family planning program, depend to a large extent on the decisions of local organizations at the district or state level. In phase 1, existing program and nonprogram data were analyzed using the multivariate technique to separate the impact of the family planning program net of other developmental efforts. The methodology in the 2nd phase consisted of in-depth investigation of selected areas in order to discern the dynamics and determinants of efficiency. The insights gained in phase 2 regarding dynamics of performance were used in phase 3 to refine the input variables of the phase 1 model. Thereafter, the phase 1 analysis was repeated. Insignificant variables and factors were trimmed in order to present a simplified model for studying the impact of environmental, socioeconomic development, family planning programs, and related factors on fertility. The inclusion of a set of family planning program and development variables in phase 3 increased the predictive power of the impact model. THe explained variance for total fertility rate (TFR) of women under 30 years increased from 71% in phase 1 to 79%. It also raised the explained variance of the efficiency model from 34% to 70%. For women age 30 years and older, their TFR was affected directly by the ethnic composition variable (.76), secondary educational status (-.45), and modern nonagricultural occupation (.42), among others. When controlled for other socioeconomic development and environmental indicators, the

  1. South Asian people and heart disease: an assessment of the importance of socioeconomic position.

    Science.gov (United States)

    Nazroo, J Y

    2001-01-01

    Higher rates of mortality from ischemic heart disease among South Asian people are well established and appear to be unrelated to socioeconomic position. However, traditional indicators of socioeconomic position may be inadequate when making comparisons across ethnic groups. This study investigates these issues in a British morbidity survey. The Fourth National Survey was a British cross-sectional study conducted from 1993 to 1994. The study used a national representative community sample, consisting of 2867 white respondents, 2001 Indian respondents, and 1776 Pakistani and Bangladeshi respondents. Data on occupational class and standard of living were used to examine the contribution of socioeconomic factors to differences in rates of reported severe chest pain and diagnosed heart disease. White and Indian respondents had similar rates of reported indicators of heart disease, while Pakistani and Bangladeshi respondents had rates that were considerably higher. There was a clear socioeconomic gradient in reported heart disease for each ethnic group, with those who were poorer having higher rates. Controlling for occupational class made little difference to the greater risk of heart disease found in the Pakistani and Bangladeshi group; however, controlling for a more sensitive indicator of socioeconomic position-standard of living-greatly reduced their disproportionate risk. The findings suggest that South Asian people do not share a uniformly greater risk of heart disease. The more economically advantaged South Asian group, Indians, had rates that are similar to those found among white people, while the poorest groups, Pakistanis and Bangladeshis, had rates that are considerably higher. Socioeconomic position predicted risk in each ethnic group and made a key contribution to the higher risk found for Pakistani and Bangladeshi individuals. Other studies may have failed to identify the important contribution of socioeconomic position because the indicators used were

  2. Socio-economic disparities in health system responsiveness in India.

    Science.gov (United States)

    Malhotra, Chetna; Do, Young Kyung

    2013-03-01

    To assess the magnitude of socio-economic disparities in health system responsiveness in India after correcting for potential reporting heterogeneity by socio-economic characteristics (education and wealth). Data from Wave 1 of the Study on Global Ageing and Adult Health (2007-2008) involving six Indian states were used. Seven health system responsiveness domains were considered for a respondent's last visit to an outpatient service in 12 months: prompt attention, dignity, clarity of information, autonomy, confidentiality, choice and quality of basic amenities. Hierarchical ordered probit models (correcting for reporting heterogeneity through anchoring vignettes) were used to assess the association of socio-economic characteristics with the seven responsiveness domains, controlling for age, gender and area of residence. Stratified analysis was also conducted among users of public and private health facilities. Our statistical models accounting for reporting heterogeneity revealed socio-economic disparities in all health system responsiveness domains. Estimates suggested that individuals from the lowest wealth group, for example, were less likely than individuals from the highest wealth group to report 'very good' on the dignity domain by 8% points (10% vs 18%). Stratified analysis showed that such disparities existed among users of both public and private health facilities. Socio-economic disparities exist in health system responsiveness in India, irrespective of the type of health facility used. Policy efforts to monitor and improve these disparities are required at the health system level.

  3. Application of multivariate techniques to analytical data on Aegean ceramics

    International Nuclear Information System (INIS)

    Bieber, A.M.; Brooks, D.W.; Harbottle, G.; Sayre, E.V.

    1976-01-01

    The general problems of data collection and handling for multivariate elemental analyses of ancient pottery are considered including such specific questions as the level of analytical precision required, the number and type of elements to be determined and the need for comprehensive multivariate statistical analysis of the collected data in contrast to element by element statistical analysis. The multivariate statistical procedures of clustering in a multidimensional space and determination of the numerical probabilities of specimens belonging to a group through calculation of the Mahalanobis distances for these specimens in multicomponent space are described together with supporting univariate statistical procedures used at Brookhaven. The application of these techniques to the data on Late Bronze Age Aegean pottery (largely previously analysed at Oxford and Brookhaven with some new specimens considered) have resulted in meaningful subdivisions of previously established groups. (author)

  4. Mother's education is the most important factor in socio-economic inequality of child stunting in Iran.

    Science.gov (United States)

    Emamian, Mohammad Hassan; Fateh, Mansooreh; Gorgani, Neman; Fotouhi, Akbar

    2014-09-01

    Malnutrition is one of the most important health problems, especially in developing countries. The present study aimed to describe the socio-economic inequality in stunting and its determinants in Iran for the first time. Cross-sectional, population-based survey, carried out in 2009. Using randomized cluster sampling, weight and height of children were measured and anthropometric indices were calculated based on child growth standards given by the WHO. Socio-economic status of families was determined using principal component analysis on household assets and social specifications of families. The concentration index was used to calculate socio-economic inequality in stunting and its determinants were measured by decomposition of this index. Factors affecting the gap between socio-economic groups were recognized by using the Oaxaca-Blinder decomposition method. Shahroud District in north-eastern Iran. Children (n 1395) aged economic inequality in stunting was -0·1913. Mother's education contributed 70 % in decomposition of this index. Mean height-for-age Z-score was -0·544 and -0·335 for low and high socio-economic groups, respectively. Mother's education was the factor contributing most to the gap between these two groups. There was a significant socio-economic inequality in the studied children. If mother's education is distributed equally in all the different groups of Iranian society, one can expect to eliminate 70 % of the socio-economic inequalities. Even in high socio-economic groups, the mean height-for-age Z-score was lower than the international standards. These issues emphasize the necessity of applying new interventions especially for the improvement of maternal education.

  5. Mental health inequalities in Slovenian 15-year-old adolescents explained by personal social position and family socioeconomic status.

    Science.gov (United States)

    Klanšček, Helena Jeriček; Ziberna, Janina; Korošec, Aleš; Zurc, Joca; Albreht, Tit

    2014-03-28

    Mental health inequalities are an increasingly important global problem. This study examined the association between mental health status and certain socioeconomic indicators (personal social position and the socioeconomic status of the family) in Slovenian 15-year-old adolescents. Data originate from the WHO-Collaborative cross-national 'Health Behavior in School-aged Children' study conducted in Slovenia in 2010 (1,815 secondary school pupils, aged 15). Mental health status was measured by: KIDSCREEN-10, the Strength and Difficulties questionnaire (SDQ), a life satisfaction scale, and one question about feelings of depression. Socioeconomic position was measured by the socioeconomic status of the family (Family Affluence Scale, perceived material welfare, family type, occupational status of parents) and personal social position (number of friends and the type of school). Logistic regression and a multivariate analysis of variance (MANOVA) were performed. Girls had 2.5-times higher odds of suffering feelings of depression (p mental health than those with a higher socioeconomic position. Because of the financial crisis, we can expect an increase in social inequalities and a greater impact on adolescents' mental health status in Slovenia in the future.

  6. A CRITICAL REVIEW OF HOUSING DELIVERY IN NAIROBI: DIFFERENT ACTORS - DIFFERENT SOCIO-ECONOMIC GROUPS

    Directory of Open Access Journals (Sweden)

    Crispino C. Ochieng

    2007-11-01

    Full Text Available This research was undertaken by means of qualitative ethnographic method. The arguments in this paper underlie the important role of the different actors in private tenement housing delivery in a developing city such as Nairobi, where more than half the population is poor. In Nairobi the private tenement housing delivers both conventional as well as non-conventional housing with the majority of the poor being able to access only the later. Nonconventional housing includes the informal as well as the slum. Although still targeting the poor, with time, the majority of what started as non-conventional housing undergoes greater physical development. This process ensures access to enough affordable low-income housing. Development in housing delivery has been supported by the government through encouraging creation of relevant housing institutions, developing relevant byelaws and regulations and putting in place an appropriate framework for housing delivery. For a developing city encouraging the participation of the private sector in housing delivery for the different socio-economic groups is a sure guarantee of providing housing for a large percentage of the population.

  7. Relationship between cataract severity and socioeconomic status.

    Science.gov (United States)

    Wesolosky, Jason D; Rudnisky, Christopher J

    2013-12-01

    To determine the relationship between cataract severity and socioeconomic status (SES). Retrospective, observational case series. A total of 1350 eyes underwent phacoemulsification cataract extraction by a single surgeon using an Alcon Infiniti system. Cataract severity was measured using phaco time in seconds. SES was measured using area-level aggregate census data: median income, education, proportion of common-law couples, and employment rate. Preoperative best corrected visual acuity was obtained and converted to logarithm of the minimum angle of resolution values. For patients undergoing bilateral surgery, the generalized estimating equation was used to account for the correlation between eyes. Univariate analyses were performed using simple regression, and multivariate analyses were performed to account for variables with significant relationships (p < 0.05) on univariate testing. Sensitivity analyses were performed to assess the effect of including patient age in the controlled analyses. Multivariate analyses demonstrated that cataracts were more severe when the median income was lower (p = 0.001) and the proportion of common-law couples living in a patient's community (p = 0.012) and the unemployment rate (p = 0.002) were higher. These associations persisted even when controlling for patient age. Patients of lower SES have more severe cataracts. Copyright © 2013 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

  8. Socioeconomic status and transient ischaemic attack/stroke: a prospective observational study.

    Science.gov (United States)

    Kerr, Gillian D; Higgins, Peter; Walters, Matthew; Ghosh, Sandip K; Wright, Fiona; Langhorne, Peter; Stott, David J

    2011-01-01

    Lower socioeconomic status (SES) is associated with an increased risk of stroke but the mechanisms are unclear. We aimed to determine whether low-SES stroke/transient ischaemic attack (TIA) patients have a greater burden of vascular risk factors/co-morbidity and reduced health care access. We prospectively studied 467 consecutive stroke and TIA patients from 3 Scottish hospitals (outpatients and inpatients) during 2007/2008. We recorded vascular risk factors, stroke severity, co-morbidity measures, investigations and health service utilisation. SES was derived from postcodes using Scottish Neighbourhood Statistics and analysed in quartiles. TIA/stroke patients in the lowest SES quartile were younger (64 years, SD 14.1) than those in the highest quartile (72 years, SD 12.9; p p = 0.001) but there was no association with other vascular risk factors/co-morbidity. There was a trend for those with lower SES to have a more severe stroke [modified National Institutes of Health Stroke Scale score and interquartile range: 4 (2-6) vs. 3 (1-5); multivariate p = 0.05]. Lower SES groups were less likely to have neuro-imaging (82 vs. 90%; p = 0.036) or an electrocardiogram (72 vs. 87%; p = 0.003), but differences were no longer significant on multivariate analysis. However, there was equal access to stroke unit care. Low-SES TIA and stroke patients are younger and have a more severe deficit; an increased prevalence of smoking is likely to be a major contributor. We found equal access to stroke unit care for low-SES patients. Copyright © 2010 S. Karger AG, Basel.

  9. Opportunities for multivariate analysis of open spatial datasets to characterize urban flooding risks

    Science.gov (United States)

    Gaitan, S.; ten Veldhuis, J. A. E.

    2015-06-01

    Cities worldwide are challenged by increasing urban flood risks. Precise and realistic measures are required to reduce flooding impacts. However, currently implemented sewer and topographic models do not provide realistic predictions of local flooding occurrence during heavy rain events. Assessing other factors such as spatially distributed rainfall, socioeconomic characteristics, and social sensing, may help to explain probability and impacts of urban flooding. Several spatial datasets have been recently made available in the Netherlands, including rainfall-related incident reports made by citizens, spatially distributed rain depths, semidistributed socioeconomic information, and buildings age. Inspecting the potential of this data to explain the occurrence of rainfall related incidents has not been done yet. Multivariate analysis tools for describing communities and environmental patterns have been previously developed and used in the field of study of ecology. The objective of this paper is to outline opportunities for these tools to explore urban flooding risks patterns in the mentioned datasets. To that end, a cluster analysis is performed. Results indicate that incidence of rainfall-related impacts is higher in areas characterized by older infrastructure and higher population density.

  10. Socioeconomic determinants of disability in Chile.

    Science.gov (United States)

    Zitko Melo, Pedro; Cabieses Valdes, Báltica

    2011-10-01

    Disability is a worldwide public health priority. A shift from a biomedical perspective of dysfunction to a broader social understanding of disability has been proposed. Among many different social factors described in the past, socioeconomic position remains as a key multidimensional determinant of health. The study goal was to analyze the relationship between disability and different domains of socioeconomic position in Chile. Cross-sectional analysis of an anonymized population-based survey conducted in Chile in 2006. Any disability (dichotomous variable) and 6 different types of disability were analyzed on the bases of their relationship with income quintiles, occupational status, educational level, and material living standards (quality of the housing, overcrowding rate and sanitary conditions). Confounding and interaction effects were explored using R statistical program. Income, education, occupation, and material measures of socioeconomic position, along with some sociodemographic characteristics of the population, were independently associated with the chance of being disabled in Chile. Interestingly, classic measures of socioeconomic position (income, education, and occupation) were consistently associated with any disability in Chile, whereas material living conditions were partially confounded by these classic measures. In addition to this, each type of disability showed a particular pattern of related social determinants, which also varied by age group. This study contributed to the understanding of disability in Chile and how different domains of socioeconomic position might be associated with this prevalent condition. Disability remains a complex multidimensional public health problem in Chile that requires the inclusion of a wide range of risk factors, of which socioeconomic position is particularly relevant. Copyright © 2011 Elsevier Inc. All rights reserved.

  11. Impact of socioeconomic inequalities on geographic disparities in cancer incidence: comparison of methods for spatial disease mapping.

    Science.gov (United States)

    Goungounga, Juste Aristide; Gaudart, Jean; Colonna, Marc; Giorgi, Roch

    2016-10-12

    The reliability of spatial statistics is often put into question because real spatial variations may not be found, especially in heterogeneous areas. Our objective was to compare empirically different cluster detection methods. We assessed their ability to find spatial clusters of cancer cases and evaluated the impact of the socioeconomic status (e.g., the Townsend index) on cancer incidence. Moran's I, the empirical Bayes index (EBI), and Potthoff-Whittinghill test were used to investigate the general clustering. The local cluster detection methods were: i) the spatial oblique decision tree (SpODT); ii) the spatial scan statistic of Kulldorff (SaTScan); and, iii) the hierarchical Bayesian spatial modeling (HBSM) in a univariate and multivariate setting. These methods were used with and without introducing the Townsend index of socioeconomic deprivation known to be related to the distribution of cancer incidence. Incidence data stemmed from the Cancer Registry of Isère and were limited to prostate, lung, colon-rectum, and bladder cancers diagnosed between 1999 and 2007 in men only. The study found a spatial heterogeneity (p 1.2). The multivariate HBSM found a spatial correlation between lung and bladder cancers (r = 0.6). In spatial analysis of cancer incidence, SpODT and HBSM may be used not only for cluster detection but also for searching for confounding or etiological factors in small areas. Moreover, the multivariate HBSM offers a flexible and meaningful modeling of spatial variations; it shows plausible previously unknown associations between various cancers.

  12. Patterns and socioeconomic influences of tobacco exposure in tobacco cultivating rural areas of Yunnan Province, China

    Directory of Open Access Journals (Sweden)

    Cai Le

    2012-10-01

    Full Text Available Abstract Background This study describes the patterns and socioeconomic influences of tobacco use among adults in tobacco-cultivating regions of rural southwest China. Methods A cross-sectional survey was conducted in 8681 adults aged ≥18 years in rural areas of Yunnan Province, China from 2010 to 2011. A standardized questionnaire was administered to obtain data about participants’ demographic characteristics, individual socioeconomic status, ethnicity, self-reported smoking habits, and exposure to secondhand smoke (SHS. The socioeconomic predictors of current smoking, nicotine addiction, and SHS exposure were analyzed using multivariate logistic regression. Results The prevalence rates of tobacco use were much higher in men compared with women (current smoking 68.5% vs. 1.3%; and nicotine dependence 85.2% vs. 72.7%. However, the rate of SHS exposure was higher in women compared with men (76.6% vs. 70.5%. Tobacco farmers had higher prevalence rates of current smoking, nicotine dependence, and SHS exposure compared with participants not engaged in tobacco farming (P Conclusions This study suggests that tobacco control efforts in rural southwest China must be tailored to address tobacco-cultivating status and socioeconomic factors.

  13. Multivariate phase type distributions - Applications and parameter estimation

    DEFF Research Database (Denmark)

    Meisch, David

    The best known univariate probability distribution is the normal distribution. It is used throughout the literature in a broad field of applications. In cases where it is not sensible to use the normal distribution alternative distributions are at hand and well understood, many of these belonging...... and statistical inference, is the multivariate normal distribution. Unfortunately only little is known about the general class of multivariate phase type distribution. Considering the results concerning parameter estimation and inference theory of univariate phase type distributions, the class of multivariate...... projects and depend on reliable cost estimates. The Successive Principle is a group analysis method primarily used for analyzing medium to large projects in relation to cost or duration. We believe that the mathematical modeling used in the Successive Principle can be improved. We suggested a novel...

  14. Communalism predicts prenatal affect, stress, and physiology better than ethnicity and socioeconomic status.

    Science.gov (United States)

    Abdou, Cleopatra M; Dunkel Schetter, Christine; Campos, Belinda; Hilmert, Clayton J; Dominguez, Tyan Parker; Hobel, Calvin J; Glynn, Laura M; Sandman, Curt

    2010-07-01

    The authors examined the relevance of communalism, operationalized as a cultural orientation emphasizing interdependence, to maternal prenatal emotional health and physiology and distinguished its effects from those of ethnicity and childhood and adult socioeconomic status (SES). African American and European American women (N = 297) were recruited early in pregnancy and followed through 32 weeks gestation using interviews and medical chart review. Overall, African American women and women of lower socioeconomic backgrounds had higher levels of negative affect, stress, and blood pressure, but these ethnic and socioeconomic disparities were not observed among women higher in communalism. Hierarchical multivariate regression analyses showed that communalism was a more robust predictor of prenatal emotional health than ethnicity, childhood SES, and adult SES. Communalism also interacted with ethnicity and SES, resulting in lower blood pressure during pregnancy for African American women and women who experienced socioeconomic disadvantage over the life course. The effects of communalism on prenatal affect, stress, and physiology were not explained by depressive symptoms at study entry, perceived availability of social support, self-esteem, optimism, mastery, nor pregnancy-specific factors, including whether the pregnancy was planned, whether the pregnancy was desired after conception, or how frequently the woman felt happy to be pregnant. This suggests that a communal cultural orientation benefits maternal prenatal emotional health and physiology over and above its links to better understood personal and social resources in addition to economic resources. Implications of culture as a determinant of maternal prenatal health and well-being and an important lens for examining ethnic and socioeconomic inequalities in health are discussed.

  15. Do socio-economic disparities in dental treatment needs exist in Lithuanian adolescents?

    Science.gov (United States)

    Aleksejuniene, Jolanta; Brukiene, Vilma

    2008-01-01

    To explore disparities in needs for dental treatment which arise from individual and area-based socio-economic determinants. A cross-sectional study conducted in 22 randomly selected Lithuanian areas. In each of the pre-selected areas, one secondary school was randomly chosen. A total of 885 15-16-year-olds participated. Outcome measures. Dental treatment need was evaluated following the WHO guidelines and aQuantitative Summative Dental Treatment Needs Index (QSDTNI) was used to calculate the total burden of needs. The information about socio-economical determinants was obtained from a structured questionnaire and national statistics database. Individual socio-economic status (SES) measures were: parents' occupation, family structure, family income and affordability to have holiday used as a proxy measure for income. The area-based SES estimates were: unemployment, average household income, educational attainment, natural increase/decrease of population in an area and net migration rate. Data was analyzed by bivariate and multivariate analyses. None of significant bivariate associations between individual socio-economic variables and the QSDTNI were detected. Among area-based variables natural increase/decrease of population in an area and net migration rate were significantly related to the QSDTNI. Two individual and two area-based factors were extracted and introduced into Linear Multiple Regression Analysis (LMR). The LMR model was significant, but only one factor, i.e. area demographics, significantly contributed to this model. There are no clear social disparities in dental treatment needs in Lithuanian adolescents.

  16. Cross-national comparison of socioeconomic inequalities in obesity in the United States and Canada.

    Science.gov (United States)

    Siddiqi, Arjumand; Brown, Rashida; Nguyen, Quynh C; Loopstra, Rachel; Kawachi, Ichiro

    2015-10-31

    Prior cross-national studies of socioeconomic inequalities in obesity have only compared summary indices of inequality but not specific, policy-relevant dimensions of inequality: (a) shape of the socioeconomic gradient in obesity, (b) magnitude of differentials in obesity across socioeconomic levels and, (c) level of obesity at any given socioeconomic level. We use unique data on two highly comparable societies - U.S. and Canada - to contrast each of these inequality dimensions. Data came from the 2002/2003 Joint Canada/U.S. Survey of Health. We calculated adjusted prevalence ratios (APRs) for obesity (compared to normal weight) by income quintile and education group separately for both nations and, between Canadians and Americans in the same income or education group. In the U.S., every socioeconomic group except the college educated had significant excess prevalence of obesity. By contrast in Canada, only those with less than high school were worse off, suggesting that the shape of the socioeconomic gradient differs in the two countries. U.S. differentials between socioeconomic levels were also larger than in Canada (e.g., PR quintile 1 compared to quintile 5 was 1.82 in the U.S. [95 % CI: 1.52-2.19] but 1.45 in Canada [95 % CI: 1.10-1.91]). At the lower end of the socioeconomic gradient, obesity was more prevalent in the U.S. than in Canada. Our results suggest there is variation between U.S. and Canada in different dimensions of socioeconomic inequalities in obesity. Future research should examine a broader set of nations and test whether specific policies or environmental exposures can explain these differences.

  17. Growth pattern in Ethiopian infants - the impact of exposure to maternal HIV infection in relation to socio-economic factors.

    Science.gov (United States)

    König Walles, John; Balcha, Taye Tolera; Winqvist, Niclas; Björkman, Per

    2017-01-01

    Infants exposed to maternal HIV infection who remain HIV-uninfected (HIV-exposed/uninfected; HIV-EU) may be at increased risk of growth retardation, which could be due both to directly HIV-related effects and to socio-economic factors overrepresented among HIV-positive women. To investigate growth development at 9-12 months of age in HIV-EU infants participating in prevention of mother-to-child transmission (PMTCT) care compared to HIV unexposed (HIV-U) infants in relation to socio-economic conditions. Anthropometric and socio-economic data were collected retrospectively from PMTCT registers (for HIV-EU infants), with HIV-U controls recruited at measles vaccination at public health facilities in Ethiopia. Growth was compared with regard to HIV exposure and socio-economic variables in multivariate regression analysis. The following growth measurements were found for 302 HIV-EU and 358 HIV-U infants at 9-12 months of age, respectively: mean weight-for-age z-score (WAZ) 0.04 and -0.21, p growth and higher mean WAZ than HIV-U controls. Poor growth development was associated with socio-economic factors. This suggests health benefits from PMTCT participation for infant growth. Similar interventions could be considered for Ethiopian infants, irrespective of HIV exposure, with a particular focus on children with poor socio-economic status.

  18. [Abdominal obesity and other cardiometabolic risk biomarkers: influence of socioeconomic status and lifestyle on two African-origin population groups, Cotonou (Benin) and Port-au-Prince (Haiti)].

    Science.gov (United States)

    Mabchour, Asma El; Delisle, Hélène; Vilgrain, Colette; Larco, Phillipe; Sodjinou, Roger

    2016-01-01

    Increased cardio metabolic risk (CMR) in low- and middle-income countries is largely due to rapid nutrition transition. We conducted a study of two African-origin populations groups living, however, in widely different settings. It aimed to assess the relationship between lifestyle and CMR biomarkers as well as between abdominal obesity (AO) and other biomarkers. The study included 200 Benineses from Cotonou and 252 Haitians from Port-with-Prince (PAP) aged between 25 to 60 years and apparently in good health. AO was specifically defined as waist circumference ≥ 88cm (men) and ≥ 95 cm (women). Other most common biomarkers were: high total cholesterol/HDL cholesterol ratio, high blood pressure and insulin resistance by HOMA (Homeostasis Model Assessement). Socioeconomic status, diet, alcohol and tobacco were documented by questionnaire. Two dietary patterns emerged from cluster analysis, one traditional and the other "transitional" with increasing frequency of western foods. Socioeconomic status, consumption of alcohol and nicotinism were associated with CMR, but not the food diagram. AO was associated with other CMR markers, with no marked effect of socioeconomic status and lifestyle variables. Specific TT threshold values are confirmed as socioeconomic status and lifestyle have an impact on CMR, but not the relationship between AO and other CMR biomarkers.

  19. Coexisting Disadvantages in later Life: Demographic and Socio-Economic Inequalities.

    Science.gov (United States)

    Heap, Josephine; Fors, Stefan; Lennartsson, Carin

    2017-01-01

    In this study, we aimed to identify which of certain demographic and socio-economic groups in the oldest part of the population that have an increased probability of experiencing simultaneous disadvantages in different life domains - here termed coexisting disadvantages. To do so, we compared analyses of coexisting disadvantages, measured as two or more simultaneous disadvantages, with analyses of single disadvantages and specific combinations of disadvantages. Indicators of physical health problems, ADL limitations, psychological health problems, limited financial resources, and limited social resources were included. We used nationally representative data from 2011 on people aged 76 and older in Sweden ( n  = 765). Results showed that coexisting disadvantages were associated with specific demographic and socio-economic groups, particularly certain marital status groups. Moreover, the differences between the demographic and socio-economic groups were only found for those who reported coexisting disadvantages, and not for those who reported only one disadvantage, which suggests that demographic and social factors become more important as disadvantages compound. Further, we analysed pairwise combinations of disadvantages. We found that different combinations of disadvantages tended to be associated with different groups, information useful from a social planning perspective since different combinations of disadvantages may imply different needs for help and support.

  20. Association of socio-economic features, hygienic status, age group and gender with prevalence of waterborne diseases in rawalpindi and islamabad

    International Nuclear Information System (INIS)

    Siddiqui, M.S.; Amin, M.; Amber, M.; Malik, M.W.; Sherwani, S.K

    2012-01-01

    Prevention of waterborne illness is of great concern all over the world. Waterborne diseases represent significant burden of diseases in the globe. Nearly 4% of diseases are attributable to water, sanitation and hygiene, and approximately 2.2 million people die every year due to diarrheal diseases worldwide. This study was carried out to find association of socio-economic features, hygienic status, age groups and gender with prevalence of water borne diseases in Rawalpindi and Islamabad. A research questionnaire was designed with questions related to demographic data, drinking water data and prevalence of water borne disease. The research questionnaire was interviewed to different respondents above 18 years of age randomly selected from different settings of Rawalpindi and Islamabad belonging to different socio-economic statuses. Data was analysed by employing cross tabulation and chi-square test with help of statistical software. The more frequent age group (47%) was 30 to 45 years. Proportion of diarrhea in females and males of middle age group were calculated as 36.11 % and 11.11 %, respectively. The second more frequent reported disease was jaundice with 15.9% of the target population being males and 16.7% females. Diarrhea was observed to be the major waterborne disease constituting 41 % of the population with poor hygiene practices. The hygienic practices were significantly associated with waterborne diseases (P = <0.001). Waterborne diseases were also, associated with financial status (P=0.02) and literacy rate (p=0.03). The current study concludes that improvement in the hygienic conditions and hygienic practices will playa pivotal role to prevent faeco-oral infections and reduce the waterborne disease burden. In targeted areas due to poor economic conditions, the population failed to achieve better hygienic practices and therefore there is a need to strengthen water filtration system and awareness of hygienic routine practices in these areas. (author)

  1. A national cohort study of parental socioeconomic status and non-fatal suicidal behaviour-the mediating role of school performance

    Directory of Open Access Journals (Sweden)

    Jablonska Beata

    2012-01-01

    Full Text Available Abstract Background A link between low parental socioeconomic status and mental health problems in offspring is well established in previous research. The mechanisms that explain this link are largely unknown. The present study investigated whether school performance was a mediating and/or moderating factor in the path between parental socioeconomic status and the risk of hospital admission for non-fatal suicidal behaviour. Methods A national cohort of 447 929 children born during 1973-1977 was followed prospectively in the National Patient Discharge Register from the end of their ninth and final year of compulsory school until 2001. Multivariate Cox proportional hazards and linear regression analyses were performed to test whether the association between parental socioeconomic status and non-fatal suicidal behaviour was mediated or moderated by school performance. Results The results of a series of multiple regression analyses, adjusted for demographic variables, revealed that school performance was as an important mediator in the relationship between parental socioeconomic status and risk of non-fatal suicidal behaviour, accounting for 60% of the variance. The hypothesized moderation of parental socioeconomic status-non-fatal suicidal behaviour relationship by school performance was not supported. Conclusions School performance is an important mediator through which parental socioeconomic status translates into a risk for non-fatal suicidal behaviour. Prevention efforts aimed to reduce socioeconomic inequalities in non-fatal suicidal behaviour among young people will need to consider socioeconomic inequalities in school performance.

  2. Depression among women in rural Ethiopia as related to socioeconomic factors: a community-based study on women in reproductive age groups.

    Science.gov (United States)

    Deyessa, N; Berhane, Y; Alem, A; Hogberg, U; Kullgren, G

    2008-08-01

    Several previous studies have reported on socioeconomic and sociodemographic factors associated with depression among women, but knowledge in this area remains scarce regarding women living in extreme poverty in developing countries. The study was aimed at examining the 12-month prevalence of depressive episodes as related to socioeconomic and sociocultural conditions of women in the reproductive age group in rural Ethiopia. A community-based cross-sectional study was undertaken among 3016 randomly selected women in the age group 15-49 years. Cases of depression were identified using the Amharic version of the Composite International Diagnostic Interview. A standardized World Health Organization questionnaire was used to measure the socioeconomic status of the women and their spouses. Data were analysed among all women and then separately among currently married women. The 12-month prevalence of depression among all women was 4.4%. After adjusting for common sociodemographic characteristics, only marital status showed a significant association with depressive episode in terms of higher odds ratios (ORs) for divorced/separated women and widowed women than for not-married women (4.05 and 4.24, respectively). Among currently married women, after adjusting for common sociodemographic characteristics, living in rural villages (OR=3.78), a frequent khat-chewing habit (OR=1.61), having a seasonal job (OR=2.94) and being relatively better off in terms of poverty (OR=0.48) were independently associated with depression. The prevalence of depression among women was in the lower range as compared to studies from high-income countries, but very poor economic conditions were associated with a higher prevalence of depression in this overall very poor setting. This further supports the notion that the relative level of poverty rather than the absolute level of poverty contributes to depression among women. Whether the association with khat chewing and depression is a causative

  3. Age at menarche and its socioeconomic determinants among female students in an urban area in Bangladesh.

    Science.gov (United States)

    Islam, Md Serajul; Hussain, Md Altaf; Islam, Saimul; Mahumud, Rashidul Alam; Biswas, Tuhin; Islam, Sheikh Mohammed Shariful

    2017-06-01

    This cross-sectional study aimed to determine the age at menarche and its socioeconomic determinants among urban female students (n=680) in Bangladesh. The mean age of the respondents was 14±1.43years. Majority of the respondents were unmarried (98.4%). The mean age at menarche was 11.6±3.6years, median 12years. Almost one-third (35.7%) of the participants had menarche at the age of 12years. There was no statistically significant difference between age at menarche before and after 12years with the socio-economic characteristics, except education (p=<0.001). In the multivariate model, only higher education was statistically significant predictor of age at menarche. Copyright © 2017 Elsevier B.V. All rights reserved.

  4. A framework for evaluating the impact of obesity prevention strategies on socioeconomic inequalities in weight.

    Science.gov (United States)

    Backholer, Kathryn; Beauchamp, Alison; Ball, Kylie; Turrell, Gavin; Martin, Jane; Woods, Julie; Peeters, Anna

    2014-10-01

    We developed a theoretical framework to organize obesity prevention interventions by their likely impact on the socioeconomic gradient of weight. The degree to which an intervention involves individual agency versus structural change influences socioeconomic inequalities in weight. Agentic interventions, such as standalone social marketing, increase socioeconomic inequalities. Structural interventions, such as food procurement policies and restrictions on unhealthy foods in schools, show equal or greater benefit for lower socioeconomic groups. Many obesity prevention interventions belong to the agento-structural types of interventions, and account for the environment in which health behaviors occur, but they require a level of individual agency for behavioral change, including workplace design to encourage exercise and fiscal regulation of unhealthy foods or beverages. Obesity prevention interventions differ in their effectiveness across socioeconomic groups. Limiting further increases in socioeconomic inequalities in obesity requires implementation of structural interventions. Further empirical evaluation, especially of agento-structural type interventions, remains crucial.

  5. Life expectancy inequalities in the elderly by socioeconomic status: evidence from Italy.

    Science.gov (United States)

    Lallo, Carlo; Raitano, Michele

    2018-04-12

    Life expectancy considerably increased in most developed countries during the twentieth century. However, the increase in longevity is neither uniform nor random across individuals belonging to various socioeconomic groups. From an economic policy perspective, the difference in mortality by socioeconomic conditions challenges the fairness of the social security systems. We focus on the case of Italy and aim at measuring differences in longevity at older ages by individuals belonging to different socioeconomic groups, also in order to assess the effective fairness of the Italian public pension system, which is based on a notional defined contribution (NDC) benefit computation formula, whose rules do not take into account individual heterogeneity in expected longevity. We use a longitudinal dataset that matches survey data on individual features recorded in the Italian module of the EU-SILC, with information on the whole working life and until death collected in the administrative archives managed by the Italian National Social Security Institute. In more detail, we follow until 2009 a sample of 11,281 individuals aged at least 60 in 2005. We use survival analysis and measure the influence of a number of events experienced in the labor market and individual characteristics on mortality. Furthermore, through Kaplan-Meier simulations of hypothetical social groups, adjusted by a Brass relational model, we estimate and compare differences in life expectancy of individuals belonging to different socioeconomic groups. Our findings confirm that socioeconomic status strongly predicts life expectancy even in old age. All estimated models show that the prevalent type of working activity before retirement is significantly associated with the risk of death, even when controlling for dozens of variables as proxies of individual demographic and socioeconomic characteristics. The risk of death for self-employed individuals is 26% lower than that of employees, and life expectancy at

  6. Spatial associations between socioeconomic groups and NO2 air pollution exposure within three large Canadian cities.

    Science.gov (United States)

    Pinault, Lauren; Crouse, Daniel; Jerrett, Michael; Brauer, Michael; Tjepkema, Michael

    2016-05-01

    Previous studies of environmental justice in Canadian cities have linked lower socioeconomic status to greater air pollution exposures at coarse geographic scales, (i.e., Census Tracts). However, studies that examine these associations at finer scales are less common, as are comparisons among cities. To assess differences in exposure to air pollution among socioeconomic groups, we assigned estimates of exposure to ambient nitrogen dioxide (NO2), a marker for traffic-related pollution, from city-wide land use regression models to respondents of the 2006 Canadian census long-form questionnaire in Toronto, Montreal, and Vancouver. Data were aggregated at a finer scale than in most previous studies (i.e., by Dissemination Area (DA), which includes approximately 400-700 persons). We developed simultaneous autoregressive (SAR) models, which account for spatial autocorrelation, to identify associations between NO2 exposure and indicators of social and material deprivation. In Canada's three largest cities, DAs with greater proportions of tenants and residents who do not speak either English or French were characterised by greater exposures to ambient NO2. We also observed positive associations between NO2 concentrations and indicators of social deprivation, including the proportion of persons living alone (in Toronto), and the proportion of persons who were unmarried/not in a common-law relationship (in Vancouver). Other common measures of deprivation (e.g., lone-parent families, unemployment) were not associated with NO2 exposures. DAs characterised by selected indicators of deprivation were associated with higher concentrations of ambient NO2 air pollution in the three largest cities in Canada. Crown Copyright © 2016. Published by Elsevier Inc. All rights reserved.

  7. Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions

    Directory of Open Access Journals (Sweden)

    Fernando B. Lopes

    2012-11-01

    Full Text Available Brazil has high climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, what results in differences among the political administrative regions of the country. The objective of this study was to determine spatial distribution of the physical, climatic and socioeconomic aspects that best characterize the production of dairy goats in Brazil. Production indices of milk per goat, goat production, milk production, as well as temperature range, mean temperature, precipitation, normalized difference vegetation index, relative humidity, altitude, agricultural farms; farms with native pasture, farms with good quality pasture, farms with water resources, farms that receive technical guidance, family farming properties, non-familiar farms and the human development index were evaluated. The multivariate analyses were carried out to spatialize climatic, physical and socioeconomic variables and so differenciate the Brazilian States and Regions. The highest yields of milk and goat production were observed in the Northeast. The Southeast Region had the second highest production of milk, followed by the South, Midwest and North. Multivariate analysis revealed distinctions between clusters of political-administrative regions of Brazil. The climatic variables were most important to discriminate between regions of Brazil. Therefore, it is necessary to implement animal breeding programs to meet the needs of each region.

  8. Decomposing socioeconomic inequality in self-rated health in Tehran.

    Science.gov (United States)

    Nedjat, Saharnaz; Hosseinpoor, Ahmad Reza; Forouzanfar, Mohammad Hossein; Golestan, Banafsheh; Majdzadeh, Reza

    2012-06-01

    Measuring the distribution of health is a part of assessing health system performance. This study aims to estimate health inequality between different socioeconomic groups and its determinants in Tehran, the capital of Iran. Self-rated health (SRH) and demographic characteristics, including gender, age, marital status, educational years, and assets, were measured by structured interviews of 2464 residents of Tehran in 2008. A concentration index was calculated to measure health inequality by economic status. The association of potential determinants and SRH was assessed through multivariate logistic regression. The contribution to concentration index of level of education, marital status and other determining factors was assessed by decomposition. The mean age of respondents was 41.4 years (SD 17.7) and 49% of them were men. The mean score of SRH status was 3.72 (range: 1-5; SD 0.93). 282 respondents (11.5%) rated their health status as poor or very poor. The concentration index was -0.29 (SE 0.03; pinequality in SRH were economic status (47.8%), level of education (29.2%) and age (23.0%). Sub-optimal SRH was more in lower than in higher economic status. After controlling for age, the levels of education and household wealth have the greatest contributions to SRH inequality.

  9. Financial incentive increases CPAP acceptance in patients from low socioeconomic background.

    Science.gov (United States)

    Tarasiuk, Ariel; Reznor, Gally; Greenberg-Dotan, Sari; Reuveni, Haim

    2012-01-01

    We explored whether financial incentives have a role in patients' decisions to accept (purchase) a continuous positive airway pressure (CPAP) device in a healthcare system that requires cost sharing. Longitudinal interventional study. The group receiving financial incentive (n = 137, 50.8±10.6 years, apnea/hypopnea index (AHI) 38.7±19.9 events/hr) and the control group (n = 121, 50.9±10.3 years, AHI 39.9±22) underwent attendant titration and a two-week adaptation to CPAP. Patients in the control group had a co-payment of $330-660; the financial incentive group paid a subsidized price of $55. CPAP acceptance was 43% greater (p = 0.02) in the financial incentive group. CPAP acceptance among the low socioeconomic strata (n = 113) (adjusting for age, gender, BMI, tobacco smoking) was enhanced by financial incentive (OR, 95% CI) (3.43, 1.09-10.85), age (1.1, 1.03-1.17), AHI (>30 vs. acceptance was affected by AHI (>30 vs. 30 vs. acceptance among low socioeconomic status patients. Thus, financial incentive should be applied as a policy to encourage CPAP treatment, especially among low socioeconomic strata patients.

  10. Tuberculosis in Asia and the pacific: the role of socioeconomic status and health system development.

    Science.gov (United States)

    Wu, Jie; Dalal, Koustuv

    2012-01-01

    To identify the relationship between socioeconomic status, health system development and the incidence, prevalence and mortality of tuberculosis in Asia and the Pacific. Incidence, prevalence and mortality rates of tuberculosis and 20 variables of socioeconomic, health system and biological-behavioral issues were included in the study involving all 46 countries of the Asian Development Bank region (2007 data). Both univariate and multivariate linear regressions were used. The worst three tuberculosis affected countries were Cambodia, India and Indonesia, while the least affected was Australia. Tuberculosis incidence, prevalence and mortality rate were higher in countries with lower human development index, corruption perception index, gross domestic product (GDP) per capita and countries with more people under minimum food supplements. Among the health system variables, total health expenditure per capita, governmental health expenditure per capita, hospital beds, and access to improved water and sanitation were strongly associated with tuberculosis. Socioeconomic determinants and health system development have significant effect on the control of tuberculosis in Asia and the Pacific region. The study has some policy implications by means of lowering the corruption and improving the sanitation.

  11. Multivariate Drought Characterization in India for Monitoring and Prediction

    Science.gov (United States)

    Sreekumaran Unnithan, P.; Mondal, A.

    2016-12-01

    Droughts are one of the most important natural hazards that affect the society significantly in terms of mortality and productivity. The metric that is most widely used by the India Meteorological Department (IMD) to monitor and predict the occurrence, spread, intensification and termination of drought is based on the univariate Standardized Precipitation Index (SPI). However, droughts may be caused by the influence and interaction of many variables (such as precipitation, soil moisture, runoff, etc.), emphasizing the need for a multivariate approach for drought characterization. This study advocates and illustrates use of the recently proposed multivariate standardized drought index (MSDI) in monitoring and prediction of drought and assessing its concerned risk in the Indian region. MSDI combines information from multiple sources: precipitation and soil moisture, and has been deemed to be a more reliable drought index. All-India monthly rainfall and soil moisture data sets are analysed for the period 1980 to 2014 to characterize historical droughts using both the univariate indices, the precipitation-based SPI and the standardized soil moisture index (SSI), as well as the multivariate MSDI using parametric and non-parametric approaches. We confirm that MSDI can capture droughts of 1986 and 1990 that aren't detected by using SPI alone. Moreover, in 1987, MSDI indicated a higher severity of drought when a deficiency in both soil moisture and precipitation was encountered. Further, this study also explores the use of MSDI for drought forecasts and assesses its performance vis-à-vis existing predictions from the IMD. Future research efforts will be directed towards formulating a more robust standardized drought indicator that can take into account socio-economic aspects that also play a key role for water-stressed regions such as India.

  12. Preventive Care Use among the Belgian Elderly Population: Does Socio-Economic Status Matter?

    Directory of Open Access Journals (Sweden)

    Sarah Hoeck

    2013-12-01

    Full Text Available Objective: To analyze the association between influenza and pneumococcus vaccination and blood cholesterol and blood sugar measurement by Belgian elderly respondents (≥65 years and socio-demographic characteristics, risk factors, health status and socio-economic status (SES. Methods: A cross-sectional study based on 4,544 non-institutionalized elderly participants of the Belgian Health Interview Surveys 2004 and 2008. Multivariate logistic regression models were constructed to examine the independent effect of socio-demographic characteristics, risk factors, health status and SES on the four preventive services. Results: After adjustment for age, sex, region, survey year, living situation, risk factors (body mass index, smoking status, physical activity and health status (self-assessed health and longstanding illness lower educated elderly were significantly less likely to report a blood cholesterol and blood sugar measurement. For instance, elderly participants with no degree or only primary education were less likely to have had a cholesterol and blood sugar measurement compared with those with higher education. Pneumococcus vaccination was not related to educational level, but lower income groups were more likely to have had a pneumococcus immunization. Influenza vaccination was not significantly related to SES. Conclusion: The results highlight the need to promote cholesterol and blood sugar measurement for lower SE groups, and pneumococcus immunization for the entire elderly population. Influenza immunization seems to be equally spread among different SE groups.

  13. Socioeconomic evaluations

    International Nuclear Information System (INIS)

    Anon.

    1980-01-01

    The session on Socioeconomic Evaluations consisted of the following seven papers: (1) Socioeconomic Considerations in Nuclear Waste Management; (2) High-Level Radioactive Waste - the Social Decision; (3) Role of Impact Assessment in Program Planning - A Social Science Perspective; (4) Social and Demographic Impacts Associated with Large-Scale Resource Developments - Implications for Nuclear Waste Repositories; (5) Economic and Fiscal Impacts of Large-Scale Development Projects - Implications for Nuclear Waste Repositories; (6) Socioeconomic Analyses of the Proposed Waste Isolation Pilot Plant Project; and (7) Existing Institutional Arrangements and Fiscal Incentives for Siting Publicly Sensitive Facilities

  14. Socioeconomic status and impact of the economic crisis on dietary habits in Italy: results from the INHES study.

    Science.gov (United States)

    Bonaccio, Marialaura; Di Castelnuovo, Augusto; Bonanni, Americo; Costanzo, Simona; Persichillo, Mariarosaria; Cerletti, Chiara; Donati, Maria Benedetta; de Gaetano, Giovanni; Iacoviello, Licia

    2017-11-08

    There is lack of evidence about the likely impact of the economic crisis on dietary habits in Western societies. We aimed to assess dietary modifications that possibly occurred during the recession and to investigate major socioeconomic factors associated with such modifications. Cross-sectional analysis on 1829 subjects from the general population recruited in the larger INHES study (n = 9319) a telephone-based survey on nutrition and health conducted in Italy from 2010 to 2013. Association of socioeconomic (education, household income, occupation) with self-reported impact of the economic crisis on dietary habits was tested by multivariable logistic regression analysis. Low-educated subjects (OR = 2.30; 95% CI: 1.39-3.80), those with poor income (OR = 5.71; 95% CI: 3.68-8.85), and unemployed (OR = 3.93; 95% CI: 1.62-9.56) had higher odds of reporting undesirable dietary changes due to recession. Adherence to the Mediterranean diet was lower in subjects reporting a negative impact of the crisis on diet as compared to those declaring no effect, whereas the quality of grocery items was higher in the latter. Undesirable dietary changes due to the economic crisis were mainly reported by lower socioeconomic groups. Subjects perceiving a negative impact of the recession on their diet also showed a lower adherence to Mediterranean diet and reduced quality of grocery products. © The Author 2017. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

  15. Improving tobacco dependence treatment outcomes for smokers of lower socioeconomic status: A randomized clinical trial.

    Science.gov (United States)

    Sheffer, Christine E; Bickel, Warren K; Franck, Christopher T; Panissidi, Luana; Pittman, Jami C; Stayna, Helen; Evans, Shenell

    2017-12-01

    Evidence-based treatments for tobacco dependence are significantly less effective for smokers of lower socioeconomic status which contributes to socioeconomic disparities in smoking prevalence rates and health. We aimed to reduce the socioeconomic gradient in treatment outcomes by systematically adapting evidence-based, cognitive-behavioral treatment for tobacco dependence for diverse lower socioeconomic smokers. Participants were randomized to adapted or standard treatment, received six 1-h group treatment sessions, and were followed for six months. We examined the effectiveness of the adapted treatment to improve treatment outcomes for lower socioeconomic groups. Participants (n=227) were ethnically, racially, and socioeconomically diverse. The adapted treatment significantly reduced the days to relapse for the two lowest socioeconomic groups: SES1: M=76.6 (SD 72.9) vs. 38.3 (SD 60.1) days to relapse (RR=0.63 95% CI, 0.45, 0.88, p=0.0013); SES2: M=88.2 (SD 67.3) vs. 40.1 (SD 62.6 days to relapse (RR=0.57 95% CI, 0.18, 0.70, p=0.0024). Interactions between socioeconomic status and condition were significant for initial abstinence (OR=1.26, 95% CI 1.09, 1.46, p=0.002), approached significance for 3-month abstinence (OR=0.90, 95% CI 0.80, 1.01, psocioeconomic smokers and reduce inequities in days to relapse. Novel methods of providing targeted extended support are needed to improve long-term outcomes. Copyright © 2017 Elsevier B.V. All rights reserved.

  16. Estimating attendance for breast cancer screening in ethnic groups in London

    Directory of Open Access Journals (Sweden)

    Møller Henrik

    2010-03-01

    Full Text Available Abstract Background Breast screening uptake in London is below the Government's target of 70% and we investigate whether ethnicity affects this. Information on the ethnicity for the individual women invited is unavailable, so we use an area-based method similar to that routinely used to derive a geographical measure for socioeconomic deprivation. Methods We extracted 742,786 observations on attendance for routine appointments between 2004 and 2007 collected by the London Quality Assurance Reference Centre. Each woman was assigned to a lower super output (LSOA based on her postcode of residence. The proportions of the ethnic groups within each LSOA are known, so that the likelihood of a woman belonging to White, Black and Asian groups can be assigned. We investigated screening attendance by age group, socioeconomic deprivation using the Index of Deprivation 2004 income quintile, invitation type and breast screening service. Using logistic regression analysis we calculated odds ratios for attendance based on ethnic composition of the population, adjusting for age, socioeconomic status, the invitation type and screening service. Results The unadjusted attendance odds ratios were high for the White population (OR: 3.34 95% CI [3.26-3.42] and low for the Black population (0.13 [0.12-0.13] and the Asian population (0.55 [0.53-0.56]. Multivariate adjustment reduced the differences, but the Black population remained below unity (0.47 [0.44-0.50]; while the White (1.30 [1.26-1.35] and Asian populations (1.10 [1.05-1.15] were higher. There was little difference in the attendance between age groups. Attendance was highest for the most affluent group and fell sharply with increasing deprivation. For invitation type, the routine recall was higher than the first call. There were wide variations in the attendance for different ethnic groups between the individual screening services. Conclusions Overall breast screening attendance is low in communities with

  17. Socio-Economic Factors Influencing Entrepreneurship Among ...

    African Journals Online (AJOL)

    Socio-Economic Factors Influencing Entrepreneurship Among Women In Fishing Communities In Ondo State, Nigeria. ... The study found that overall entrepreneurial rating of the study group is low, essential input can not be easily gotten in the area, the respondents has large household size thereby had a large dependents ...

  18. Multivariate analysis with LISREL

    CERN Document Server

    Jöreskog, Karl G; Y Wallentin, Fan

    2016-01-01

    This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.

  19. Neonatal encephalopathy and socioeconomic status: population-based case-control study.

    Science.gov (United States)

    Blume, Heidi K; Loch, Christian M; Li, Christopher I

    2007-07-01

    To investigate the association between maternal socioeconomic status and the risk of encephalopathy in full-term newborns. Population-based case-control study. Washington State births from 1994 through 2002 recorded in the linked Washington State Birth Registry and Comprehensive Hospital Abstract Reporting System. Cases (n = 1060) were singleton full-term newborns with Comprehensive Hospital Abstract Reporting System International Classification of Diseases, Ninth Revision diagnoses of seizures, birth asphyxia, central nervous system dysfunction, or cerebral irritability. Control cases (n = 5330) were singleton full-term newborns selected from the same database. Main Exposures Socioeconomic status was defined by median income of the census tract of the mother's residence, number of years of maternal educational achievement, or maternal insurance status. Odds ratios estimating the risk of encephalopathy associated with disadvantaged socioeconomic status were calculated in 3 separate analyses using multivariate adjusted logistic regression. Newborns of mothers living in neighborhoods in which residents have a low median income were at increased risk of encephalopathy compared with newborns in neighborhoods in which residents have a median income more than 3 times the poverty level (adjusted odds ratio, 1.9; 95% confidence interval, 1.5-2.3). There was also a trend for increasing risk of encephalopathy associated with decreasing neighborhood income (PNewborns of mothers with less than 12 years of educational achievement had a higher risk of encephalopathy compared with newborns of mothers with more than 16 years of educational achievement (adjusted odds ratio, 1.7; 95% confidence interval, 1.3-2.3). Newborns of mothers receiving public insurance also had a higher risk of encephalopathy compared with newborns of mothers who have commercial insurance (adjusted odds ratio, 1.4; 95% confidence interval, 1.2-1.7). Disadvantaged socioeconomic status was independently

  20. Patterns of Socioeconomic Inequality in Adolescent Health Differ According to the Measure of Socioeconomic Position

    DEFF Research Database (Denmark)

    Elgar, Frank J.; McKinnon, Britt; Torsheim, Torbjorn

    2016-01-01

    Socioeconomic differences in health are ubiquitous across age groups, cultures, and health domains. However, variation in the size and pattern of health inequalities appears to relate to the measure of socioeconomic position (SEP) applied. Little attention has been paid to these differences...... in adolescents and their implications for health surveillance and policy. We examined health inequalities in 1371 adolescents in seven European countries using four measures of SEP: youth-reported material assets and subjective social status and parent-reported material assets and household income. For each SEP...... variable, we estimated risk ratios, risk differences, concentration curves, and concentration indices of inequality for fair/poor self-rated health and low life satisfaction. Results showed that inequalities in health and life satisfaction were largest when subjective social status was used as the SEP...

  1. Socioeconomic gradients in general and oral health of primary school children in Shiraz, Iran

    OpenAIRE

    Golkari, Ali; Sabokseir, Aira; Sheiham, Aubrey; Watt, Richard G.

    2016-01-01

    Background: Health status is largely determined by socio-economic status. The general health of individuals at higher social hierarchy is better than people in lower levels. Likewise, people with higher socio-economic status have better oral health than lower socio-economic groups. There has not been much work regarding the influence of socio-economic status on the health conditions of children in developing countries, particularly in Iran. The aim of this study was to compare the oral and ge...

  2. Does school social capital modify socioeconomic inequality in mental health?

    DEFF Research Database (Denmark)

    Nielsen, Line; Koushede, Vibeke; Vinther-Larsen, Mathilde

    2015-01-01

    It seems that social capital in the neighbourhood has the potential to reduce socioeconomic differences in mental health among adolescents. Whether school social capital is a buffer in the association between socioeconomic position and mental health among adolescents remains uncertain. The aim...... of this study is therefore to examine if the association between socioeconomic position and emotional symptoms among adolescents is modified by school social capital. The Health Behaviour in School-aged Children Methodology Development Study 2012 provided data on 3549 adolescents aged 11-15 in two....... In school classes characterised by high and moderate trust, there were no statistically significant differences in emotional symptoms between high and low socioeconomic groups. Although further studies are needed, this cross-sectional study suggests that school social capital may reduce mental health...

  3. Estimating an Effect Size in One-Way Multivariate Analysis of Variance (MANOVA)

    Science.gov (United States)

    Steyn, H. S., Jr.; Ellis, S. M.

    2009-01-01

    When two or more univariate population means are compared, the proportion of variation in the dependent variable accounted for by population group membership is eta-squared. This effect size can be generalized by using multivariate measures of association, based on the multivariate analysis of variance (MANOVA) statistics, to establish whether…

  4. Exploring socioeconomic disparities in self-reported oral health among adolescents in california.

    Science.gov (United States)

    Telford, Claire; Coulter, Ian; Murray, Liam

    2011-01-01

    Socioeconomic factors are associated with disparities in oral health among adolescents; however, the underlying reasons are not clear. The authors conducted a study to determine if known indicators of oral health can explain such disparities. The authors examined data from a 2007 California Health Interview Survey of adolescents. The outcome of interest was self-reported condition of the teeth; covariates were socioeconomic status (SES) (that is, family poverty level and parental education) and a range of other variables representing health-influencing behaviors, dental care and other social factors. The authors conducted analyses by using logistic regression to explain disparities in self-reported condition of the teeth associated with SES. The authors found that socioeconomic disparities decreased substantially after they added all potential explanatory variables to the model, leaving poverty level as the only variable associated with differences in the self-reported condition of the teeth. Adolescents living below the federal poverty guidelines were more likely to report that the condition of their teeth was fair or poor than were adolescents who were least poor (odds ratio = 1.58; 95 percent confidence interval, 1.04-2.41). In multivariate analyses, further oral health disparities existed in relation to behaviors that influence health, social environment and dental care. The results of this study showed that a number of factors decreased, but did not eliminate, the observed relationship between SES and oral health in Californian adolescents. Most of these explanatory factors are modifiable, indicating that socioeconomic differences associated with oral health among adolescents may be amenable to change. Practice Implications. By promoting a healthy lifestyle (including healthy diet, exercise and regular dental attendance) and conveying to patients in languages other than English how to maintain oral health, dentists may be able to ameliorate the effects of

  5. Distinguishing Nonpareil marketing group almond cultivars through multivariate analyses.

    Science.gov (United States)

    Ledbetter, Craig A; Sisterson, Mark S

    2013-09-01

    More than 80% of the world's almonds are grown in California with several dozen almond cultivars available commercially. To facilitate promotion and sale, almond cultivars are categorized into marketing groups based on kernel shape and appearance. Several marketing groups are recognized, with the Nonpareil Marketing Group (NMG) demanding the highest prices. Placement of cultivars into the NMG is historical and no objective standards exist for deciding whether newly developed cultivars belong in the NMG. Principal component analyses (PCA) were used to identify nut and kernel characteristics best separating the 4 NMG cultivars (Nonpareil, Jeffries, Kapareil, and Milow) from a representative of the California Marketing Group (cultivar Carmel) and the Mission Marketing Group (cultivar Padre). In addition, discriminant analyses were used to determine cultivar misclassification rates between and within the marketing groups. All 19 evaluated carpological characters differed significantly among the 6 cultivars and during 2 harvest seasons. A clear distinction of NMG cultivars from representatives of the California and Mission Marketing Groups was evident from a PCA involving the 6 cultivars. Further, NMG kernels were successfully discriminated from kernels representing the California and Mission Marketing Groups with overall kernel misclassification of only 2% using 16 of the 19 evaluated characters. Pellicle luminosity was the most discriminating character, regardless of the character set used in analyses. Results provide an objective classification of NMG almond kernels, clearly distinguishing them from kernels of cultivars representing the California and Mission Marketing Groups. Journal of Food Science © 2013 Institute of Food Technologists® No claim to original US government works.

  6. The contribution of major diagnostic causes to socioeconomic differences in disability retirement.

    Science.gov (United States)

    Polvinen, Anu; Laaksonen, Mikko; Gould, Raija; Lahelma, Eero; Martikainen, Pekka

    2014-07-01

    The aim of this study was twofold: to investigate socioeconomic differences in disability retirement (DR) due to major diseases and find out which diseases contribute most to the overall socioeconomic differences in DR. The data were longitudinal register-based (10% sample of Finns) from Statistics Finland. These data included 258 428 participants aged 35-64 years during the follow-up. The participants were employed or unemployed before the follow-up period 1997-2010. Of all participants, 14 303 men and 13 188 women ended up in DR during the follow-up. Socioeconomic status was categorized into upper- and lower-class non-manual employees, manual workers, and self-employed persons. Cox models were used to estimate hazard ratios for DR due to different diseases. Compared to upper-class non-manual employees, DR was especially high for manual workers whose retirement diagnoses included psychoactive substance use, musculoskeletal diseases (MSD), or cardiovascular diseases. Socioeconomic differences in DR were stronger for younger age groups and men versus women. For females and males, the largest part of the excess DR among manual workers compared to upper-class non-manual employees was due to MSD. In the age group 54-64 years, the contribution of MSD to the total excess was >50% among male manual workers and 75% among female manual workers. Excess DR due to mental disorders concerned only 35-54-year-old manual workers (among 23% men and 26% women). The contribution of MSD to the total excess DR among lower socioeconomic groups was large. Prevention of MSD among manual workers would likely reduce socioeconomic differences in DR.

  7. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Feng, E-mail: fwang@unu.edu [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Huisman, Jaco [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Stevels, Ab [Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Baldé, Cornelis Peter [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Statistics Netherlands, Henri Faasdreef 312, 2492 JP Den Haag (Netherlands)

    2013-11-15

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e

  8. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    International Nuclear Information System (INIS)

    Wang, Feng; Huisman, Jaco; Stevels, Ab; Baldé, Cornelis Peter

    2013-01-01

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e

  9. Multivariate statistical methods a primer

    CERN Document Server

    Manly, Bryan FJ

    2004-01-01

    THE MATERIAL OF MULTIVARIATE ANALYSISExamples of Multivariate DataPreview of Multivariate MethodsThe Multivariate Normal DistributionComputer ProgramsGraphical MethodsChapter SummaryReferencesMATRIX ALGEBRAThe Need for Matrix AlgebraMatrices and VectorsOperations on MatricesMatrix InversionQuadratic FormsEigenvalues and EigenvectorsVectors of Means and Covariance MatricesFurther Reading Chapter SummaryReferencesDISPLAYING MULTIVARIATE DATAThe Problem of Displaying Many Variables in Two DimensionsPlotting index VariablesThe Draftsman's PlotThe Representation of Individual Data P:ointsProfiles o

  10. Impact of tobacco control interventions on socioeconomic inequalities in smoking: review of the evidence.

    Science.gov (United States)

    Hill, Sarah; Amos, Amanda; Clifford, David; Platt, Stephen

    2014-11-01

    We updated and expanded a previous systematic literature review examining the impact of tobacco control interventions on socioeconomic inequalities in smoking. We searched the academic literature for reviews and primary research articles published between January 2006 and November 2010 that examined the socioeconomic impact of six tobacco control interventions in adults: that is, price increases, smoke-free policies, advertising bans, mass media campaigns, warning labels, smoking cessation support and community-based programmes combining several interventions. We included English-language articles from countries at an advanced stage of the tobacco epidemic that examined the differential impact of tobacco control interventions by socioeconomic status or the effectiveness of interventions among disadvantaged socioeconomic groups. All articles were appraised by two authors and details recorded using a standardised approach. Data from 77 primary studies and seven reviews were synthesised via narrative review. We found strong evidence that increases in tobacco price have a pro-equity effect on socioeconomic disparities in smoking. Evidence on the equity impact of other interventions is inconclusive, with the exception of non-targeted smoking cessation programmes which have a negative equity impact due to higher quit rates among more advantaged smokers. Increased tobacco price via tax is the intervention with the greatest potential to reduce socioeconomic inequalities in smoking. Other measures studied appear unlikely to reduce inequalities in smoking without specific efforts to reach disadvantaged smokers. There is a need for more research evaluating the equity impact of tobacco control measures, and development of more effective approaches for reducing tobacco use in disadvantaged groups and communities. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  11. Financial incentive increases CPAP acceptance in patients from low socioeconomic background.

    Directory of Open Access Journals (Sweden)

    Ariel Tarasiuk

    Full Text Available OBJECTIVE: We explored whether financial incentives have a role in patients' decisions to accept (purchase a continuous positive airway pressure (CPAP device in a healthcare system that requires cost sharing. DESIGN: Longitudinal interventional study. PATIENTS: The group receiving financial incentive (n = 137, 50.8±10.6 years, apnea/hypopnea index (AHI 38.7±19.9 events/hr and the control group (n = 121, 50.9±10.3 years, AHI 39.9±22 underwent attendant titration and a two-week adaptation to CPAP. Patients in the control group had a co-payment of $330-660; the financial incentive group paid a subsidized price of $55. RESULTS: CPAP acceptance was 43% greater (p = 0.02 in the financial incentive group. CPAP acceptance among the low socioeconomic strata (n = 113 (adjusting for age, gender, BMI, tobacco smoking was enhanced by financial incentive (OR, 95% CI (3.43, 1.09-10.85, age (1.1, 1.03-1.17, AHI (>30 vs. 30 vs. 30 vs. <30 (5.25, 1.34-18.5. CONCLUSIONS: Minimizing cost sharing reduces a barrier for CPAP acceptance among low socioeconomic status patients. Thus, financial incentive should be applied as a policy to encourage CPAP treatment, especially among low socioeconomic strata patients.

  12. Socioeconomic Factors for Sports Specialization and Injury in Youth Athletes.

    Science.gov (United States)

    Jayanthi, Neeru A; Holt, Daniel B; LaBella, Cynthia R; Dugas, Lara R

    2018-05-01

    The effect of socioeconomic status (SES) on rates of sports specialization and injury among youth athletes has not been described previously. Young athletes from lower socioeconomic status will have lower rates of sports specialization and subsequently lower risk of overuse injuries. Cohort study. Level 3. Injured athletes aged 7 to 18 years were recruited from 2 hospital-based sports medicine clinics and compared with uninjured athletes presenting for sports physicals at primary care clinics between 2010 and 2013. Participants completed surveys on training patterns. Electronic medical records provided injury details as well as patient zip code, race, and health insurance type. SES was estimated from zip codes. The sample was divided into SES tertiles. Analysis of variance and multivariate regression were used for continuous variables, and multivariate logistic regression analyses were conducted to explore relationships between risk factors and injury. Of 1190 athletes surveyed, 1139 (96%) had satisfactory SES data. Compared with low-SES athletes, high-SES athletes reported more hours per week spent playing organized sports (11.2 ± 6.0 vs 10.0 ± 6.5; P = 0.02), trained more months per year in their main sport (9.7 ± 3.1 vs 7.6 ± 3.7; P sports (64.8% vs 40.0%; P sports to free play increased with SES. Accounting for age and weekly organized sports hours, the odds of reporting a serious overuse injury increased with SES (odds ratio, 1.5; P sports specialization, more hours per week playing organized sports, higher ratio of weekly hours in organized sports to free play, and greater participation in individual sports. As SES increases, young athletes report higher degrees of sports specialization, greater participation in individual sports, and more serious overuse injuries.

  13. Opportunities for multivariate analysis of open spatial datasets to characterize urban flooding risks

    Directory of Open Access Journals (Sweden)

    S. Gaitan

    2015-06-01

    Full Text Available Cities worldwide are challenged by increasing urban flood risks. Precise and realistic measures are required to reduce flooding impacts. However, currently implemented sewer and topographic models do not provide realistic predictions of local flooding occurrence during heavy rain events. Assessing other factors such as spatially distributed rainfall, socioeconomic characteristics, and social sensing, may help to explain probability and impacts of urban flooding. Several spatial datasets have been recently made available in the Netherlands, including rainfall-related incident reports made by citizens, spatially distributed rain depths, semidistributed socioeconomic information, and buildings age. Inspecting the potential of this data to explain the occurrence of rainfall related incidents has not been done yet. Multivariate analysis tools for describing communities and environmental patterns have been previously developed and used in the field of study of ecology. The objective of this paper is to outline opportunities for these tools to explore urban flooding risks patterns in the mentioned datasets. To that end, a cluster analysis is performed. Results indicate that incidence of rainfall-related impacts is higher in areas characterized by older infrastructure and higher population density.

  14. Ethnicity and socioeconomic status are related to dietary patterns at age 5 in the Amsterdam born children and their development (ABCD) cohort.

    Science.gov (United States)

    Rashid, Viyan; Engberink, Marielle F; van Eijsden, Manon; Nicolaou, Mary; Dekker, Louise H; Verhoeff, Arnoud P; Weijs, Peter J M

    2018-01-08

    Health inequalities are already present at young age and tend to vary with ethnicity and socioeconomic status (SES). Diet is a major determinant of overweight, and studying dietary patterns as a whole in relation to overweight rather than single nutrients or foods has been suggested. We derived dietary patterns at age 5 and determined whether ethnicity and SES were both related to these dietary patterns. We analysed 2769 validated Food Frequency Questionnaires filled in by mothers of children (5.7 ± 0.5y) in the Amsterdam Born Children and their Development (ABCD) cohort. Food items were reduced to 41 food groups. Energy adjusted intake per food group (g/d) was used to derive dietary patterns using Principal Component Analysis and children were given a pattern score for each dietary pattern. We defined 5 ethnic groups (Dutch, Surinamese, Turkish, Moroccan, other ethnicities) and 3 SES groups (low, middle, high, based on maternal education). Multivariate ANOVA, with adjustment for age, gender and maternal age, was used to test potential associations between ethnicity or SES and dietary pattern scores. Post-hoc analyses with Bonferroni adjustment were used to examine differences between groups. Principal Component Analysis identified 4 dietary patterns: a snacking, full-fat, meat and healthy dietary pattern, explaining 21% of the variation in dietary intake. Ethnicity was related to the dietary pattern scores (p pattern, whereas Turkish children scored high on full-fat and Surinamese children on the meat pattern. SES was related to the snacking, full-fat and meat patterns (p pattern and low on the full-fat pattern. This study indicates that both ethnicity and SES are relevant for dietary patterns at age 5 and may enable more specific nutrition education to specific ethnic and low socioeconomic status target groups.

  15. Personal, social and environmental correlates of healthy weight status amongst mothers from socioeconomically disadvantaged neighborhoods: findings from the READI study

    Directory of Open Access Journals (Sweden)

    Crawford David

    2010-03-01

    Full Text Available Abstract Background Socioeconomically disadvantaged mothers are at high risk of obesity, yet the aetiology of obesity in this group remains poorly understood. The aim of this study was to examine the perceived personal, social and physical environmental factors associated with resilience to obesity among mothers from socioeconomically disadvantaged neighbourhoods. Methods Survey data were provided by a cohort of 1840 women aged 18-46 years with dependent children (aged 0-18 years from 40 urban and 40 rural socioeconomically disadvantaged neighbourhoods across Victoria, Australia. Mothers responded to a number of questions relating to personal, social and environmental influences on their physical activity and eating habits. Mothers' weight status was classified as healthy weight (BMI: 18.5-24.99, overweight (BMI: 25-29.99 or obese (BMI: 30+. Results Mothers' weight status was bivariably associated with factors from all three domains (personal, social and physical environmental. In a multivariable model, mothers' perceived ability to make time for healthy eating (OR = 1.34 and physical activity (OR = 1.11 despite family commitments, and the frequency with which families ate healthy low-fat foods with mothers (OR = 1.28 remained significantly positively associated with healthy weight status. The frequency with which families encouraged eating healthy low-fat foods remained negatively associated (OR = 0.81 with weight status; ie greater encouragement was associated with less healthy weight status. Conclusions Drawing on the characteristics of mothers resilient to obesity might assist in developing intervention strategies to help other mothers in socioeconomically disadvantaged neighbourhoods to manage their weight. Such strategies might focus on planning for and prioritising time for healthy eating and physical activity behaviours, and including family members in and encouraging family mealtimes.

  16. Demographic, socio-economic, and cultural factors affecting fertility differentials in Nepal

    Directory of Open Access Journals (Sweden)

    Adhikari Ramesh

    2010-04-01

    Full Text Available Abstract Background Traditionally Nepalese society favors high fertility. Children are a symbol of well-being both socially and economically. Although fertility has been decreasing in Nepal since 1981, it is still high compared to many other developing countries. This paper is an attempt to examine the demographic, socio-economic, and cultural factors for fertility differentials in Nepal. Methods This paper has used data from the Nepal Demographic and Health Survey (NDHS 2006. The analysis is confined to ever married women of reproductive age (8,644. Both bivariate and multivariate analyses have been performed to describe the fertility differentials. The bivariate analysis (one-way ANOVA was applied to examine the association between children ever born and women's demographic, socio-economic, and cultural characteristics. Besides bivariate analysis, the net effect of each independent variable on the dependent variable after controlling for the effect of other predictors has also been measured through multivariate analysis (multiple linear regressions. Results The mean numbers of children ever born (CEB among married Nepali women of reproductive age and among women aged 40-49 were three and five children, respectively. There are considerable differentials in the average number of children ever born according to women's demographic, socio-economic, and cultural settings. Regression analysis revealed that age at first marriage, perceived ideal number of children, place of residence, literacy status, religion, mass media exposure, use of family planning methods, household headship, and experience of child death were the most important variables that explained the variance in fertility. Women who considered a higher number of children as ideal (β = 0.03; p Conclusion The average number of children ever born is high among women in Nepal. There are many contributing factors for the high fertility, among which are age at first marriage, perceived ideal

  17. Demographic, socio-economic, and cultural factors affecting fertility differentials in Nepal.

    Science.gov (United States)

    Adhikari, Ramesh

    2010-04-28

    Traditionally Nepalese society favors high fertility. Children are a symbol of well-being both socially and economically. Although fertility has been decreasing in Nepal since 1981, it is still high compared to many other developing countries. This paper is an attempt to examine the demographic, socio-economic, and cultural factors for fertility differentials in Nepal. This paper has used data from the Nepal Demographic and Health Survey (NDHS 2006). The analysis is confined to ever married women of reproductive age (8,644). Both bivariate and multivariate analyses have been performed to describe the fertility differentials. The bivariate analysis (one-way ANOVA) was applied to examine the association between children ever born and women's demographic, socio-economic, and cultural characteristics. Besides bivariate analysis, the net effect of each independent variable on the dependent variable after controlling for the effect of other predictors has also been measured through multivariate analysis (multiple linear regressions). The mean numbers of children ever born (CEB) among married Nepali women of reproductive age and among women aged 40-49 were three and five children, respectively. There are considerable differentials in the average number of children ever born according to women's demographic, socio-economic, and cultural settings. Regression analysis revealed that age at first marriage, perceived ideal number of children, place of residence, literacy status, religion, mass media exposure, use of family planning methods, household headship, and experience of child death were the most important variables that explained the variance in fertility. Women who considered a higher number of children as ideal (beta = 0.03; p Muslim women (beta = 0.07; p media (beta = -0.05; p women in Nepal. There are many contributing factors for the high fertility, among which are age at first marriage, perceived ideal number of children, literacy status, mass media exposure

  18. Walking to Work: The Roles of Neighborhood Walkability and Socioeconomic Deprivation.

    Science.gov (United States)

    Kelly, Cheryl M; Lian, Min; Struthers, Jim; Kammrath, Anna

    2015-06-16

    There are few studies that aimed to find a relationship between transportation-related physical activity and neighborhood socioeconomic condition using a composite deprivation index. The purpose of this study is to assess the relationship of neighborhood walkability and socioeconomic deprivation with percentage of adults walking to work. A walkability index and a socioeconomic deprivation index were created at block group-level. The outcome variable, percentage of adults who walk to work was dichotomized as walkability and socioeconomic deprivation with walking to work. Individuals in the most walkable neighborhoods are almost 5 times more likely to walk to work than individuals in the least walkable neighborhoods (OR = 4.90, 95% CI = 2.80-8.59). After adjusting for neighborhood socioeconomic deprivation, individuals in the most walkable neighborhoods are almost 3 times more likely to walk to work than individuals in the least walkable neighborhoods (OR = 2.98, 95% CI = 1.62-5.49). Walkability (as measured by the walkability index) is a very strong indicator of walking to work even after controlling for neighborhood socioeconomic disadvantage.

  19. Is the co-occurrence of smoking and poor consumption of fruits and vegetables confounded by socioeconomic conditions?

    Science.gov (United States)

    Muff, Christine; Dragano, N; Jöckel, K-H; Moebus, S; Möhlenkamp, S; Erbel, R; Mann, K; Siegrist, J

    2010-08-01

    As smoking and unhealthy diet are more prevalent in lower socioeconomic groups, this study aims at exploring whether associations between smoking and fruit and vegetable consumption are confounded by socioeconomic conditions or if smoking is independently associated with consumption. Cross-sectional analyses of 4,814 middle-aged participants from the Heinz Nixdorf recall study, a population-based cohort study in Germany. Fruit and vegetable consumption was assessed by a food frequency questionnaire. Education and income were used as indicators for socioeconomic groups. Logistic regression models were run to estimate odds ratios for consumption by smoking status. Smoking is associated with poor consumption of fruits and raw vegetables/salad in both genders, and with poor consumption of boiled vegetables and fruit/vegetable juice in men. Importantly, poor consumption is related to smoking independently of people's socioeconomic conditions. The findings imply that smokers in all socioeconomic groups are at higher risk for unhealthy intake of fruits and vegetables. Public health interventions targeted to smokers should include dietary instructions.

  20. Socioeconomic inequalities in oral health among adults in Tehran, Iran.

    Science.gov (United States)

    Ghorbani, Z; Ahmady, A Ebn; Ghasemi, E; Zwi, A B

    2015-03-01

    To identify the socioeconomic distribution of perceived oral health among adults in Tehran, Iran. A cross-sectional population study. A stratified random sample of 1,100 adults aged 18-84 years living in Tehran. Self-report data were obtained from the 2010 dental telephone interview survey. Oral health was evaluated using self-assessed non-replaced extracted teeth (NRET), and a three-item perceived dental health instrument. Socioeconomic status was measured by combining the variables of education and assets using principal component analysis. Inequalities in oral health were examined using prevalence ratios and concentration index. The poorest quintile was 1.60 (95% confidence interval, CI, 1.30; 1.98) times as likely to have any NRET compared with the richest quintile, indicating a disparity. Inequality was most pronounced in the 35-59 age group with prevalence ratio 2.01 (95% CI 1.26; 3.05). The concentration index of NRET in adults in Tehran was -0.22 (95% CI -0.28; -0.16). No significant differences were found in perceived dental health between socioeconomic classes. Adults from lower socioeconomic classes experienced more disabilities due to missing their teeth, specifically in the middle-age group. Inequalities in perceived dental health were not apparent in the studied population.

  1. Multivariate Welch t-test on distances

    OpenAIRE

    Alekseyenko, Alexander V.

    2016-01-01

    Motivation: Permutational non-Euclidean analysis of variance, PERMANOVA, is routinely used in exploratory analysis of multivariate datasets to draw conclusions about the significance of patterns visualized through dimension reduction. This method recognizes that pairwise distance matrix between observations is sufficient to compute within and between group sums of squares necessary to form the (pseudo) F statistic. Moreover, not only Euclidean, but arbitrary distances can be used. This method...

  2. Socioeconomic status in relation to Parkinson's disease risk and mortality: A population-based prospective study.

    Science.gov (United States)

    Yang, Fei; Johansson, Anna L V; Pedersen, Nancy L; Fang, Fang; Gatz, Margaret; Wirdefeldt, Karin

    2016-07-01

    Little is known about the role of socioeconomic status in relation to Parkinson's disease (PD) risk, and no study has investigated whether the impact of socioeconomic status on all-cause mortality differs between individuals with and without PD.In this population-based prospective study, over 4.6 million Swedish inhabitants who participated in the Swedish census in 1980 were followed from 1981 to 2010. The incidence rate of PD and incidence rate ratio were estimated for the association between socioeconomic status and PD risk. Age-standardized mortality rate and hazard ratio (HR) were estimated for the association between socioeconomic status and all-cause mortality for individuals with and without PD.During follow-up, 66,332 incident PD cases at a mean age of 76.0 years were recorded. Compared to individuals with the highest socioeconomic status (high nonmanual workers), all other socioeconomic groups (manual or nonmanual and self-employed workers) had a lower PD risk. All-cause mortality rates were higher in individuals with lower socioeconomic status compared with high nonmanual workers, but relative risks for all-cause mortality were lower in PD patients than in non-PD individuals (e.g., for low manual workers, HR: 1.12, 95% confidence interval [CI]: 1.09-1.15 for PD patients; HR: 1.36, 95% CI: 1.35-1.36 for non-PD individuals).Individuals with lower socioeconomic status had a lower PD incidence compared to the highest socioeconomic group. Lower socioeconomic status was associated with higher all-cause mortality among individuals with and without PD, but such impact was weaker among PD patients.

  3. Socioeconomic, demographic and smoking-related correlates of the use of potentially reduced exposure to tobacco products in a national sample.

    Science.gov (United States)

    Shaikh, Raees A; Siahpush, Mohammad; Singh, Gopal K

    2014-07-01

    In recent years, new non-traditional, potentially reduced exposure products (PREPs), claiming to contain fewer harmful chemicals than the traditional products, have been introduced in the market. Little is known about socioeconomic, demographic and smoking-related determinants of the likelihood of using these products among smokers. The aim of this study was to examine these determinants. Data from the 2006-2007 Tobacco Use Supplement to the Current Population Survey was used. We limited the analysis to current smokers (n=40724). Multivariate logistic regression analyses were conducted to estimate the association between covariates and the probability of the use of PREPs. We found that younger age, lower education, higher nicotine addiction and having an intention to quit are associated with higher likelihood of the use of PREPs. The likelihood of using these products was found to be higher among respondents who are unemployed or have a service, production, sales or farming occupation than those with a professional occupation. Smokers living in the midwest, south or west, were found to have a greater likelihood of the use of PREPs than those living in the northeast. Because there is little evidence to suggest that PREPs are less harmful that other tobacco products, their marketing as harm-minimising products should be regulated. Smokers, in particular those who are younger, have a lower socioeconomic status, and are more nicotine-dependent, should be the target of educational programmes that reveal the actual harm of PREPs. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  4. Socioeconomic status and organ damage in Mexican systemic lupus erythematosus women.

    Science.gov (United States)

    Mendoza-Pinto, C; Méndez-Martínez, S; Soto-Santillán, P; Galindo Herrera, J; Pérez-Contreras, I; Macías-Díaz, S; Taboada-Cole, A; García-Carrasco, M

    2015-10-01

    The objective of this cross-sectional study was to determine relationships between socioeconomic status and organ damage in Mexican systemic lupus erythematosus (SLE) patients. Demographic and clinical variables were assessed. Socioeconomic status was evaluated using the Graffar method and monthly household income. Lupus activity and organ damage were measured using the SLE disease activity scale, validated for the Mexican population (Mex-SLEDAI), and the Systemic Lupus International Collaborating Clinics/American College of Rheumatology (SLICC/ACR) scale. The 143 Mexican female SLE patients included (mean age 40.1 ± 8.9 years, mean disease duration 8.9 ± 6.3 years) had a mean monthly household income of $ 407.2 ± 326.5. According to the Graffar index, 18.9%, 52.5%, and 28.7% had high/medium-high, medium, and medium-low/low socioeconomic status, respectively. Organ damage was observed in 61 patients (42.7%). Patients with organ damage had lower monthly household incomes ($241.4 ± 152.4 vs. $354.8 ± 288.3) and were more frequently unemployed (57.3% vs. 35.3%; p = 0.01) than those without. Low monthly income was not associated with lupus activity or self-reported health status. In the adjusted multivariate analysis, low monthly income ( < $300) was associated with organ damage. In conclusion, low income may be associated with organ damage in Mexican SLE patients. © The Author(s) 2015.

  5. Morphological assessment of Niger Kuri cattle using multivariate ...

    African Journals Online (AJOL)

    This work confirms that at type trait level Kuri cattle is a unique population within the West African taurine cattle group. The implementation of genetic analyses aiming at ascertaining the degree of uniqueness of the breed is advised. Keywords: Body measurements, Bos taurus, multivariate analyses, qualitative traits, West ...

  6. Socioeconomic differences in adolescents’ smoking: a comparison between Finland and Beijing, China

    Directory of Open Access Journals (Sweden)

    Yang Liu

    2016-08-01

    Full Text Available Abstract Background Various studies have demonstrated the associations between socioeconomic status (SES and health and health behaviour among adolescents. However, few studies have compared the socioeconomic difference in adolescent smoking between countries with different stage of smoking. The purpose of this study was to examine and compare the relationship between socioeconomic status (SES and adolescent smoking in Beijing, China and Finland through the Health Behaviour in School-aged Children (HBSC study. Methods The data used in this study were derived from the Chinese HBSC linked project survey 2008 in Beijing and the Finnish HBSC survey 2006. The final sample included 2005 Chinese and 1685 Finnish 15-year-old schoolchildren. The associations between Family Affluence Scale (FAS, as the SES measure, and adolescents’ smoking behaviour, including ever smoked, weekly smoking and the early onset of smoking were examined separately in two countries through binary logistic regression. Results Compared to students from the high FAS group, Chinese boys from the low FAS group were more likely to report having ever smoked (OR = 2.12, 95 % CI = 1.49–3.01 and being early onset of smoking (OR = 2.17, 95 % CI = 1.44–3.26. Finnish girls from the low FAS group were more likely to report being weekly smokers (OR = 1.68, 95 % CI = 1.07–2.65. No significant difference was found for Chinese girls and Finnish boys. Conclusions This study indicated different patterns of socioeconomic difference in smoking between Chinese and Finnish adolescents by gender and by smoking behaviour, which suggests that socioeconomic inequalities in smoking are different among adolescents in countries with different stage of smoking. Country specific policies and interventions for different target groups should be encouraged and designed for reducing the prevalence of adolescents’ smoking.

  7. Socioeconomic inequalities and determinants of oral hygiene status among Urban Indian adolescents.

    Science.gov (United States)

    Mathur, Manu Raj; Tsakos, Georgios; Parmar, Priyanka; Millett, Christopher J; Watt, Richard G

    2016-06-01

    To assess the socioeconomic inequalities in oral hygiene and to explore the role of various socioeconomic and psychosocial factors as determinants of these inequalities among adolescents residing in Delhi National Capital Territory. A cross-sectional study was conducted among 1386 adolescents aged 12-15 years from three different socioeconomic groups according to their area of residence (middle-class areas, resettlement colonies and urban slum colonies). Level of oral hygiene was examined clinically using the Simplified Oral Hygiene Index (OHI-S), and an interviewer-administered questionnaire was used to measure key socio-demographic variables and psychosocial and health-related behaviours. Logistic regression analysis tested the association between area of residence and poor oral hygiene. Poor oral hygiene was observed in 50.2% of the adolescents. There was a socioeconomic gradient in poor oral hygiene, with higher prevalence observed at each level of deprivation. These differences were only partly explained, and the differences between adolescent groups remained statistically significant after adjusting for various demographic variables, standard of living, social capital, social support and health-affecting behaviours (OR: 1.96, 95% CI: 1.30-2.76; and OR: 2.50, 95% CI: 1.60-3.92 for adolescents from resettlement colonies and urban slums, respectively, than middle-class adolescents). Area of residence emerged as a strong socioeconomic predictor of prevalence of poor oral hygiene among Indian adolescents. Various material, psychosocial and behavioural factors did not fully explain the observed inequalities in poor oral hygiene among different adolescent groups. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  8. Socioeconomic disparities in first stroke incidence, quality of care, and survival: a nationwide registry-based cohort study of 44 million adults in England

    Directory of Open Access Journals (Sweden)

    Benjamin D Bray, MD

    2018-04-01

    Full Text Available Summary: Background: We aimed to estimate socioeconomic disparities in the incidence of hospitalisation for first-ever stroke, quality of care, and post-stroke survival for the adult population of England. Methods: In this cohort study, we obtained data collected by a nationwide register on patients aged 18 years or older hospitalised for first-ever acute ischaemic stroke or primary intracerebral haemorrhage in England from July 1, 2013, to March 31, 2016. We classified socioeconomic status at the level of Lower Super Output Areas using the Index of Multiple Deprivation, a neighbourhood measure of deprivation. Multivariable models were fitted to estimate the incidence of hospitalisation for first stroke (negative binomial, quality of care using 12 quality metrics (multilevel logistic, and all-cause 1 year case fatality (Cox proportional hazards. Findings: Of the 43·8 million adults in England, 145 324 were admitted to hospital with their first-ever stroke: 126 640 (87% with ischaemic stroke, 17 233 (12% with intracerebral haemorrhage, and 1451 (1% with undetermined stroke type. We observed a socioeconomic gradient in the incidence of hospitalisation for ischaemic stroke (adjusted incidence rate ratio 2·0, 95% CI 1·7–2·3 for the most vs least deprived deciles and intracerebral haemorrhage (1·6, 1·3–1·9. Patients from the lowest socioeconomic groups had first stroke a median of 7 years earlier than those from the highest (p<0·0001, and had a higher prevalence of pre-stroke disability and diabetes. Patients from lower socioeconomic groups were less likely to receive five of 12 care processes but were more likely to receive early supported discharge (adjusted odds ratio 1·14, 95% CI 1·07–1·22. Low socioeconomic status was associated with a 26% higher adjusted risk of 1-year mortality (adjusted hazard ratio 1·26, 95% CI 1·20–1·33, for highest vs lowest deprivation decile, but this gradient was largely attenuated after

  9. Multivariate Receptor Models for Spatially Correlated Multipollutant Data

    KAUST Repository

    Jun, Mikyoung

    2013-08-01

    The goal of multivariate receptor modeling is to estimate the profiles of major pollution sources and quantify their impacts based on ambient measurements of pollutants. Traditionally, multivariate receptor modeling has been applied to multiple air pollutant data measured at a single monitoring site or measurements of a single pollutant collected at multiple monitoring sites. Despite the growing availability of multipollutant data collected from multiple monitoring sites, there has not yet been any attempt to incorporate spatial dependence that may exist in such data into multivariate receptor modeling. We propose a spatial statistics extension of multivariate receptor models that enables us to incorporate spatial dependence into estimation of source composition profiles and contributions given the prespecified number of sources and the model identification conditions. The proposed method yields more precise estimates of source profiles by accounting for spatial dependence in the estimation. More importantly, it enables predictions of source contributions at unmonitored sites as well as when there are missing values at monitoring sites. The method is illustrated with simulated data and real multipollutant data collected from eight monitoring sites in Harris County, Texas. Supplementary materials for this article, including data and R code for implementing the methods, are available online on the journal web site. © 2013 Copyright Taylor and Francis Group, LLC.

  10. Ethnicity, socioeconomic status, and overweight in Asian American adolescents

    Directory of Open Access Journals (Sweden)

    Won Kim Cook

    2016-12-01

    Full Text Available Asian American children and adolescents are an under-investigated subpopulation in obesity research. This study aimed to identify specific profiles of Asian subgroups at high risk of adolescent overweight with special attention to Asian ethnicity, socioeconomic status (SES, and their interaction. Multiple logistic regression models were fitted using a sample of 1533 Asian American adolescents ages 12–17 from the 2007–2012 California Health Interview Survey (CHIS. In addition to Asian ethnicity and socioeconomic status (assessed by family income and parental education level, age, gender, nativity, and two lifestyle variables, fast food consumption and physical activity, were also controlled for in these models. Key predictors of overweight in Asian American adolescents included certain Asian ethnicities (Southeast Asian, Filipino, and mixed ethnicities, low family income (<300% of the Federal Poverty Level, and being male. Multiplicative interaction terms between low family income and two ethnicities, Southeast Asian and Vietnamese that had the lowest SES among Asian ethnic groups, were significantly associated with greatly elevated odds of being overweight (ORs = 12.90 and 6.67, respectively. These findings suggest that high risk of overweight in Asian American adolescents associated with low family incomes may be further elevated for those in low-income ethnic groups. Future research might investigate ethnic-group SES as a meaningful indicator of community-level socioeconomic disparities that influence the health of Asian Americans.

  11. Socio-Economic Environment as the Basis for Innovation Economy

    Directory of Open Access Journals (Sweden)

    Marina Akhmetova

    2017-06-01

    Full Text Available The authors carried out a correlation analysis of the socio-economic environment factors, which have a decisive influence on the territorial innovative development according to data for the year 2012. The paper discloses socio-economic determinants that provide to reinforce territory’s innovative development. These determinants are higher education development, improving of social and transport infrastructure, growth in small business and trade. The paper also carried out a dynamic analysis according to data for period of 2012 - 2014 in the group of regions (Russian Federation "Generators of Innovations" and disclosed the positive impact of selected key determinants on the regional innovative development. The results of this research may be used in the government practice of different territories (countries, regions for decision-making in the field of socio-economic development.

  12. An exploration of socio-economic and food characteristics of high trans fatty acid consumers in the Dutch and UK national surveys after voluntary product reformulation.

    Science.gov (United States)

    Rippin, H L; Hutchinson, J; Ocke, M; Jewell, J; Breda, J J; Cade, J E

    2017-01-01

    Trans fatty acids (TFA) increase the risk of mortality and chronic diseases. TFA intakes have fallen since reformulation, but may still be high in certain, vulnerable, groups. This paper investigates socio-economic and food consumption characteristics of high TFA consumers after voluntary reformulation in the Netherlands and UK. Post-reformulation data of adults aged 19-64 was analysed in two national surveys: the Dutch National Food Consumption Survey (DNFCS) collected 2007-2010 using 2*24hr recalls (N = 1933) and the UK National Diet and Nutrition Survey (NDNS) years 3&4 collected 2010/11 and 2011/12 using 4-day food diaries (N = 848). The socio-economic and food consumption characteristics of the top 10% and remaining 90% TFA consumers were compared. Means of continuous data were compared using t-tests and categorical data means using chi-squared tests. Multivariate logistic regression models indicated which socio-demographic variables were associated with high TFA consumption. In the Dutch analyses, women and those born outside the Netherlands were more likely to be top 10% TFA consumers than men and Dutch-born. In the UK unadjusted analyses there was no significant trend in socio-economic characteristics between high and lower TFA consumers, but there were regional differences in the multivariate logistic regression analyses. In the Netherlands, high TFA consumers were more likely to be consumers of cakes, buns & pastries; cream; and fried potato than the remaining 90%. Whereas in the UK, high TFA consumers were more likely to be consumers of lamb; cheese; and dairy desserts and lower crisps and savoury snack consumers. Some socio-demographic differences between high and lower TFA consumers were evident post-reformulation. High TFA consumers in the Dutch 2007-10 survey appeared more likely to obtain TFA from artificial sources than those in the UK survey. Further analyses using more up-to-date food composition databases may be needed.

  13. Influence of socioeconomic status on the relationship between locus of control and oral health.

    Science.gov (United States)

    Acharya, Shashidhar; Pentapati, Kalyana Chakravarthy; Singh, Sweta

    2011-01-01

    The objectives of this study were to assess the relationship between Locus of Control (LoC) and oral health among a group of rural adolescent school children and to examine the influence of socioeconomic status (SES) on the association between health, LoC and oral health status. A total of 318 children 15 years of age from a public and private school formed the study population. The children were administered following the Indian translation of the 18-item Multidimensional Health Locus of Control scale, and subsequently examined for caries and oral hygiene. T tests and correlation analyses showed a significant relationship between higher 'Internal' Locus of Control and dental caries. A hierarchical multiple regression analysis was performed to assess the effect of socioeconomic status on LoC and oral health using three interaction models which showed a statistically significant interaction between 'Internal' LoC and socioeconomic status on caries. Socioeconomic stratum-specific estimates of the relationship between the LoC and caries revealed a positive association between Internal LoC and caries in the middle socioeconomic group. The results demonstrated the relationship between Locus of Control and oral health, and the role of socioeconomic status having a strong bearing on this relationship.

  14. Reprint of: Relationship between cataract severity and socioeconomic status.

    Science.gov (United States)

    Wesolosky, Jason D; Rudnisky, Christopher J

    2015-06-01

    To determine the relationship between cataract severity and socioeconomic status (SES). Retrospective, observational case series. A total of 1350 eyes underwent phacoemulsification cataract extraction by a single surgeon using an Alcon Infiniti system. Cataract severity was measured using phaco time in seconds. SES was measured using area-level aggregate census data: median income, education, proportion of common-law couples, and employment rate. Preoperative best corrected visual acuity was obtained and converted to logarithm of the minimum angle of resolution values. For patients undergoing bilateral surgery, the generalized estimating equation was used to account for the correlation between eyes. Univariate analyses were performed using simple regression, and multivariate analyses were performed to account for variables with significant relationships (p < 0.05) on univariate testing. Sensitivity analyses were performed to assess the effect of including patient age in the controlled analyses. Multivariate analyses demonstrated that cataracts were more severe when the median income was lower (p = 0.001) and the proportion of common-law couples living in a patient's community (p = 0.012) and the unemployment rate (p = 0.002) were higher. These associations persisted even when controlling for patient age. Patients of lower SES have more severe cataracts. Copyright © 2015. Published by Elsevier Inc.

  15. Delay to Reconstruction of the Adolescent Anterior Cruciate Ligament: The Socioeconomic Impact on Treatment.

    Science.gov (United States)

    Newman, Justin T; Carry, Patrick M; Terhune, Elizabeth B; Spruiell, Murray; Heare, Austin; Mayo, Meredith; Vidal, Armando F

    2014-08-01

    A delay in pediatric and adolescent anterior cruciate ligament (ACL) reconstruction is associated with an increase in the number of concomitant meniscal and chondral injuries. Factors that contribute to this delay have not been well described. Socioeconomic and demographic factors are related to ACL surgery timing. Cohort study; Level of evidence, 3. All subjects who underwent primary ACL reconstruction at a single tertiary pediatric hospital between 2005 and 2012 were retrospectively reviewed. Variables included concomitant knee injuries (cartilage or meniscus injuries requiring additional operative treatment) and chronologic, demographic, and socioeconomic factors. Multivariable Cox proportional-hazards analyses were used to identify factors related to ACL surgery timing. The mean age of the 272 subjects was 15.2 ± 2.12 years. Time to surgery was significantly different among subjects who required multiple additional surgical procedures at time of ACL reconstruction (median, 3.3 months) compared with subjects with 1 (median, 2.0 months) or no additional injuries (median, 1.6 months). Subjects underwent ACL reconstruction significantly sooner if they were older at the time of injury (hazard ratio [HR], 1.2 per 1 year; 95% CI, 1.1-1.2; P socioeconomic and demographic factors and ACL surgery timing to optimize outcomes.

  16. Prevalence of cardiovascular risk factors and socioeconomic level among public-sector workers in Angola.

    Science.gov (United States)

    Capingana, Daniel P; Magalhães, Pedro; Silva, Amílcar B T; Gonçalves, Mauer A A; Baldo, Marcelo P; Rodrigues, Sérgio L; Simões, Cristóvão C F; Ferreira, Albano V L; Mill, José G

    2013-08-07

    Cardiovascular diseases are the leading cause of death in the majority of developed and developing countries. African countries are currently facing an increase in both cardiovascular and transmitted diseases. In addition, cardiovascular risk varies among different socioeconomic groups. Thus, we determined the prevalence of modifiable cardiovascular risk factors in apparently healthy public-sector workers and investigated possible relationships with socioeconomic status. We employed a cross-sectional study comprising 42.2% (n = 615) of the public-sector workers at Agostinho Neto University, 48% (n = 294) male and 52% (n= 321) female, with ages between 20 and 72 years and from various socioeconomic groups. The study was conducted from February 2009 to December 2010. Personal, anthropometric, biochemical, hemodynamic, socioeconomic, and physical activity data were collected. The prevalence rates of cardiovascular risk factors were as follows: hypertension, 45.2% (men 46.3%, women 44.2%, P > 0.05); hypercholesterolemia, 11.1% (men 10.5%, women 11.5%, P > 0.05); low high-density lipoprotein (HDL) cholesterol, 50.1% (men 36.9%, women 62.3%; P 0.05); smoking, 7.2% (men 10.2%, women 4.4%; P 0.05); overweight, 29.3% (men 27.3%, women 31.2%, P > 0.05); obesity, 19.6% (men 9.2%, women 29.0%; P socioeconomic status, 41.0% had three or more risk factors. The results of this study suggest the existence of a high prevalence of multiple risk factors for cardiovascular disease in apparently healthy public-sector workers in Angola. The workers in lower socioeconomic groups had higher incidences of hypertension, smoking, and left ventricular hypertrophy.

  17. Multivariate statistics exercises and solutions

    CERN Document Server

    Härdle, Wolfgang Karl

    2015-01-01

    The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All R codes and data sets may be downloaded via the quantlet download center  www.quantlet.org or via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.

  18. To study the quality of life and its relation with socioeconomic status in thalassemic adolescents in a tertiary care center

    Directory of Open Access Journals (Sweden)

    Navjot Kaur Grewal

    2017-01-01

    Full Text Available Background and Objectives: A large number of children are afflicted by thalassemia in India which may significantly impact their quality of life (QOL; hence, we hypothesized that there exists a strong relationship between socioeconomic status and QOL. We thus designed this study to assess QOL in adolescents diagnosed with β thalassemia major and its association with socioeconomic status. Further, we also compared the QOL and socioeconomic status between thalassemic and nonthalassemic adolescents. Materials and Methods: We recruited 35 adolescents diagnosed with β thalassemia major and 35 nonthalassemics in the age group of 10-18 years who matched in age, sex, and socioeconomic status. Selected cases and their parents were administered using PedsQL 4.0 India/Hindi questionnaire to assess QOL and modified Kuppuswamy scale to assess socioeconomic status. Results: Almost half of the thalassemic adolescents, i.e., 51.4% had poor QOL, whereas 48.6% of adolescents in control group had high QOL. There was no statistically significant association between QOL and socioeconomic status in both groups. It was observed that the difference between QOL and socioeconomic class though not significant but was more pronounced in study group (P = 0.114 than control group (P = 0.594. The receiver operating characteristic curve for QOL parameters indicated that social domain was the major contributor to poor QOL in thalassemics. Conclusion: Our study showed that thalassemic adolescents had significantly poor QOL, social domain being the major contributor as compared to nonthalassemics. We propose that provision of subsidized organized care can negate the impact of poor socioeconomic status on QOL of thalassemics.

  19. Analysis of multi-species point patterns using multivariate log Gaussian Cox processes

    DEFF Research Database (Denmark)

    Waagepetersen, Rasmus; Guan, Yongtao; Jalilian, Abdollah

    Multivariate log Gaussian Cox processes are flexible models for multivariate point patterns. However, they have so far only been applied in bivariate cases. In this paper we move beyond the bivariate case in order to model multi-species point patterns of tree locations. In particular we address t...... of the data. The selected number of common latent fields provides an index of complexity of the multivariate covariance structure. Hierarchical clustering is used to identify groups of species with similar patterns of dependence on the common latent fields.......Multivariate log Gaussian Cox processes are flexible models for multivariate point patterns. However, they have so far only been applied in bivariate cases. In this paper we move beyond the bivariate case in order to model multi-species point patterns of tree locations. In particular we address...... the problems of identifying parsimonious models and of extracting biologically relevant information from the fitted models. The latent multivariate Gaussian field is decomposed into components given in terms of random fields common to all species and components which are species specific. This allows...

  20. [Intelligence, socio-economic status and hospital admissions of young adults].

    Science.gov (United States)

    Bosma, H; Traag, T; Berger-van Sijl, M; van Eijk, J; Otten, F

    2007-05-12

    To determine whether socio-economic differences in hospital admissions of adolescents and young adults are related to differences in intelligence. . Retrospective cohort study. The data were derived from a group of 10,231 young adults and adolescents who were followed for a total of 47,212 person years with regard to their hospital admissions. Intelligence was measured in the first year of secondary school by 2 non-verbal intelligence tests for fluid intelligence. Data from hospital admissions were matched to a large-scale educational and occupational cohort. Data were analysed with Cox proportional hazards analysis. Intelligence was not found to be related to hospital admissions. However, a low occupational and educational level of the young adults or their parents, was strongly related to heightened risk for hospital admissions. In particular, the low socio-economic status of a respondent was associated with heightened risk for hospital admissions due to accidents (relative risk: 3.49; 95% confidence interval: 1.91-6.39). The small extent to which the socio-economic differences in hospital admissions seem to be based upon fluid intelligence, at least in adolescents and young adults, as well as the heightened risks of hospital admissions in lower socio-economic status groups and the associated high costs for health care legitimise further study of the determinants of these differences.

  1. Quantifying the impacts of socio-economic factors on air quality in Chinese cities from 2000 to 2009

    International Nuclear Information System (INIS)

    Zhao Juanjuan; Chen, Shengbin; Wang Hua; Ren Yin; Du Ke; Xu Weihua; Zheng Hua; Jiang Bo

    2012-01-01

    Socio-economic factors have significant influences on air quality and are commonly used to guide environmental planning and management. Based on data from 85 long-term daily monitoring cities in China, air quality as evaluated by AOFDAQ-A (Annual Occurrence Frequency of Daily Air Quality above Level III), was correlated to socio-economic variable groups of urbanization, pollution and environmental treatment by variation partitioning and hierarchical partitioning methods. We found: (1) the three groups explained 43.5% of the variance in AOFDAQ-A; (2) the contribution of “environmental investment” to AOFDAQ-A shown a time lag effect; (3) “population in mining sector” and “coverage of green space in built-up area” were respectively the most significant negative and positive explanatory socio-economic variables; (4) using eight largest contributing individual factors, a linear model to predict variance in AOFDAQ-A was constructed. Results from our study provide a valuable reference for the management and control of air quality in Chinese cities. - Highlights: ► Urban air quality as evaluated by AOFDAQ-A was correlated to socio-economic variable groups. ► Variable groups explained 43.5% of the variance in AOFDAQ-A. ► “Coverage of green space in built-up area” was the most significant positive variable. ► A linear model to predict variance in AOFDAQ-A was constructed. ► Contributions of 21 socio-economic variables to AOFDAQ-A was quantified. - Socio-economic variable groups of urbanization, pollution and environmental treatment explained 43.5% of the variance in air quality of Chinese cities.

  2. Decomposition of multivariate phenotypic means in multigroup genetic covarinace structure analysis

    NARCIS (Netherlands)

    Dolan, C.V.; Molenaar, P.C.M.; Boomsma, D.I.

    1992-01-01

    Uses D. Sorbom's (1974) method to study differences in latent means in multivariate twin data. By restricting the analysis to a comparison between groups, the results pertain only to the additive contributions of common genetic and environmental factors to the deviation of the group means from what

  3. Association of perceived neighborhood characteristics, socioeconomic status and rural residency with health outcomes in Egyptian patients with systemic lupus erythematosus: one center study.

    Science.gov (United States)

    Abdul-Sattar, Amal B; Abou El Magd, Sahar

    2017-12-01

    To investigate the role of perceived neighborhood characteristics, socioeconomic status (SES) and rural residency in influencing the health status outcome of Egyptian patients with systemic lupus erythematosus (SLE). Eighty patients affected with SLE were consecutively included in this a single-center cross-sectional study from July, 2011 to July, 2013. Outcome measures included the Systemic Lupus Activity Questionnaire (SLAQ) score, the Medical Outcomes Study Short Form-36 Health Survey physical functioning score and Center for Epidemiologic Studies-Depression (CES-D score of ≥ 19 points). Multivariate logistic regression analyses were conducted. Results from multivariate logistic regression analyses, a separate adjusted model of each perceived neighborhood characteristic, indicate associations of worse perceived social cohesion with higher SLAQ scores (P socioeconomic status and rural residency with health status outcomes, the results found association of poor socioeconomic status with the three health status outcome measures and association between rural residency and depression symptoms. Individuals had increased odds of depressive symptoms if they perceived worse neighborhood social cohesion (odds ratio [OR]: 2.14; CI: 1.42-2.80), if they perceived worse neighborhood safety (OR: 1.64; CI: 1.02-2.40) and if they perceived worse neighborhood aesthetic characteristics (OR: 2.79; CI: 1.84-3.38). Study findings indicate that poor socioeconomic status, rural residency and perceived neighborhood characteristics are associated with depression; worse perceived neighborhood aesthetics and safety are associated with lower SF-36 physical functioning, and worse neighborhood social cohesion is associated with higher disease activity among patients with SLE. © 2014 Asia Pacific League of Associations for Rheumatology and Wiley Publishing Asia Pty Ltd.

  4. Multivariate covariance generalized linear models

    DEFF Research Database (Denmark)

    Bonat, W. H.; Jørgensen, Bent

    2016-01-01

    are fitted by using an efficient Newton scoring algorithm based on quasi-likelihood and Pearson estimating functions, using only second-moment assumptions. This provides a unified approach to a wide variety of types of response variables and covariance structures, including multivariate extensions......We propose a general framework for non-normal multivariate data analysis called multivariate covariance generalized linear models, designed to handle multivariate response variables, along with a wide range of temporal and spatial correlation structures defined in terms of a covariance link...... function combined with a matrix linear predictor involving known matrices. The method is motivated by three data examples that are not easily handled by existing methods. The first example concerns multivariate count data, the second involves response variables of mixed types, combined with repeated...

  5. Use of programme theory to understand the differential effects of interventions across socio-economic groups in systematic reviews-a systematic methodology review.

    Science.gov (United States)

    Maden, Michelle; Cunliffe, Alex; McMahon, Naoimh; Booth, Andrew; Carey, Gina Michelle; Paisley, Suzy; Dickson, Rumona; Gabbay, Mark

    2017-12-29

    Systematic review guidance recommends the use of programme theory to inform considerations of if and how healthcare interventions may work differently across socio-economic status (SES) groups. This study aimed to address the lack of detail on how reviewers operationalise this in practice. A methodological systematic review was undertaken to assess if, how and the extent to which systematic reviewers operationalise the guidance on the use of programme theory in considerations of socio-economic inequalities in health. Multiple databases were searched from January 2013 to May 2016. Studies were included if they were systematic reviews assessing the effectiveness of an intervention and included data on SES. Two reviewers independently screened all studies, undertook quality assessment and extracted data. A narrative approach to synthesis was adopted. A total of 37 systematic reviews were included, 10 of which were explicit in the use of terminology for 'programme theory'. Twenty-nine studies used programme theory to inform both their a priori assumptions and explain their review findings. Of these, 22 incorporated considerations of both what and how interventions do/do not work in SES groups to both predict and explain their review findings. Thirteen studies acknowledged 24 unique theoretical references to support their assumptions of what or how interventions may have different effects in SES groups. Most reviewers used supplementary evidence to support their considerations of differential effectiveness. The majority of authors outlined a programme theory in the "Introduction" and "Discussion" sections of the review to inform their assumptions or provide explanations of what or how interventions may result in differential effects within or across SES groups. About a third of reviews used programme theory to inform the review analysis and/or synthesis. Few authors used programme theory to inform their inclusion criteria, data extraction or quality assessment. Twenty

  6. Socioeconomic disadvantage and oral-health-related hospital admissions: a 10-year analysis.

    Science.gov (United States)

    Kruger, Estie; Tennant, Marc

    2016-01-01

    The aim of this Western Australian population study was to assess the relationship of socioeconomic disadvantage and: 1) trends in hospitalisations for oral-health-related conditions over 10 years; 2) insurance status, costs and length of stay in hospital; and 3) specific conditions (principal diagnosis) patients were admitted for. Hospitalisation data (of oral-health-related conditions) were obtained for every episode of discharge from all hospitals in Western Australia for the financial years 1999-2000 to 2008-2009. Area based measures (using the Index of Relative Socioeconomic Disadvantage) was used to determine relationships between socioeconomic status and other variables. The most disadvantaged in the population are being hospitalised at significantly higher rates than other groups, stay in hospital for longer, and at higher costs. This trend remained over a period of 10 years. Those least disadvantaged have the second highest rates of hospitalisation, but the likelihood of being admitted for different procedures differ between these two extremes. The importance of socioeconomic determinants of health are evident when analysing these hospitalisations. Recognition that lifestyle choices are severely restricted among the most marginalised and disadvantaged groups in the population can no longer be ignored in attempts to reduce health inequalities.

  7. Multivariate Approaches to Classification in Extragalactic Astronomy

    Directory of Open Access Journals (Sweden)

    Didier eFraix-Burnet

    2015-08-01

    Full Text Available Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is not an exception and is now facing a deluge of data. For galaxies, the one-century old Hubble classification and the Hubble tuning fork are still largely in use, together with numerous mono- or bivariate classifications most often made by eye. However, a classification must be driven by the data, and sophisticated multivariate statistical tools are used more and more often. In this paper we review these different approaches in order to situate them in the general context of unsupervised and supervised learning. We insist on the astrophysical outcomes of these studies to show that multivariate analyses provide an obvious path toward a renewal of our classification of galaxies and are invaluable tools to investigate the physics and evolution of galaxies.

  8. Adipokine serum concentrations, anthropometric measurements and socio-economic status in two ethnic groups with different prevalence levels for cardiovascular diseases and type 2 diabetes.

    Science.gov (United States)

    Waisberg, R; Paiker, J E; Crowther, N J

    2011-08-01

    Obesity is more common in African than Asian-Indian populations and yet type 2 diabetes and cardiovascular diseases are more common in the latter populations. The main purpose of the current study was therefore to determine whether ethnic differences in body fat distribution, adipokine levels, and socio-economic status may explain population differences in the prevalence of these metabolic disorders. Leptin, IL-6, CRP, visceral fat, education level, and socio-economic status were measured in 50 African and the same number of Indian women residing in Johannesburg, South Africa. Serum leptin levels were significantly higher in Indian than African subjects (41.3±2.0 and 34.2±2.9 ng/ml, respectively; pAfrican group, (5.22±0.86 vs. 2.54±0.52 pg/ml; peconomic status (pAfrican subjects, however, adjusting for these variables in ANCOVA did not attenuate differences in adipokine or visceral fat levels. We hypothesise that one of the reasons for the higher prevalence of obesity in the African than Indian population may be related to lower leptin levels, whilst ethnic differences in the prevalence of metabolic disorders cannot be explained by differences in adipokine levels, but maybe related to higher visceral adiposity in the Indian group. Georg Thieme Verlag KG Stuttgart · NewYork.

  9. Oral Health Status of Institutionalized Older Women from Different Socioeconomic Positions.

    Science.gov (United States)

    Heredia-Ponce, Erika; Irigoyen-Camacho, A Esther; Sánchez-García, Sergio

    2017-01-01

    To determine the association between oral health and socioeconomic position in institutionalized older women in Mexico City. A cross-sectional study was performed in two groups: high socioeconomic position (HSEP), living in a private retirement home, and low socioeconomic position (LSEP), living in a public assistance center. Oral health was determined by edentulism, oral hygiene, healthy teeth, experience of dental caries, missing and filled teeth, gingival bleeding, dental calculus, and periodontal disease. A latent class analysis (LCA) was used to classify oral health status in dentate. Included were 170 women (HSEP 54.1% and LSEP 45.8%), average age 77.3 (SD = 9.3) years. Oral health status was formed: Edentulous 32.4% HSEP and 67.6% LSEP; Class 1 Unfavorable 0% HSEP and 100% LSEP; Class2 Slightly favorable 41.2% HSEP and58.8% LSEP; and Class3 Favorable 84.6% HSEP and 15.4% LSEP. There was a statistically significant association between socioeconomic position (p < .001) and oral health status. The oral health of women studied was not optimal. Higher socioeconomic position was associated with better oral health status.

  10. Multivariate Statistical Process Control Charts: An Overview

    OpenAIRE

    Bersimis, Sotiris; Psarakis, Stelios; Panaretos, John

    2006-01-01

    In this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review multivariate extensions for all kinds of univariate control charts, such as multivariate Shewhart-type control charts, multivariate CUSUM control charts and multivariate EWMA control charts. In addition, we review unique procedures for the construction of multivariate control charts, based on multivariate statistical techniques such as p...

  11. Socioeconomic inequality in childhood obesity and its determinants: a Blinder-Oaxaca decomposition.

    Science.gov (United States)

    Kelishadi, Roya; Qorbani, Mostafa; Heshmat, Ramin; Djalalinia, Shirin; Sheidaei, Ali; Safiri, Saeid; Hajizadeh, Nastaran; Motlagh, Mohammad Esmaeil; Ardalan, Gelayol; Asayesh, Hamid; Mansourian, Morteza

    Childhood obesity has become a priority health concern worldwide. Socioeconomic status is one of its main determinants. This study aimed to assess the socioeconomic inequality of obesity in children and adolescents at national and provincial levels in Iran. This multicenter cross-sectional study was conducted in 2011-2012, as part of a national school-based surveillance program performed in 40,000 students, aged 6-18-years, from urban and rural areas of 30 provinces of Iran. Using principle component analysis, the socioeconomic status of participants was categorized to quintiles. Socioeconomic status inequality in excess weight was estimated by calculating the prevalence of excess weight (i.e., overweight, generalized obesity, and abdominal obesity) across the socioeconomic status quintiles, the concentration index, and slope index of inequality. The determinants of this inequality were determined by the Oaxaca Blinder decomposition. Overall, 36,529 students completed the study (response rate: 91.32%); 50.79% of whom were boys and 74.23% were urban inhabitants. The mean (standard deviation) age was 12.14 (3.36) years. The prevalence of overweight, generalized obesity, and abdominal obesity was 11.51%, 8.35%, and 17.87%, respectively. The SII for overweight, obesity and abdominal obesity was -0.1, -0.1 and -0.15, respectively. Concentration index for overweight, generalized obesity, and abdominal obesity was positive, which indicate inequality in favor of low socioeconomic status groups. Area of residence, family history of obesity, and age were the most contributing factors to the inequality of obesity prevalence observed between the highest and lowest socioeconomic status groups. This study provides considerable information on the high prevalence of excess weight in families with higher socioeconomic status at national and provincial levels. These findings can be used for international comparisons and for healthcare policies, improving their programming by

  12. Methods of Multivariate Analysis

    CERN Document Server

    Rencher, Alvin C

    2012-01-01

    Praise for the Second Edition "This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere."-IIE Transactions Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life sit

  13. Continuous multivariate exponential extension

    International Nuclear Information System (INIS)

    Block, H.W.

    1975-01-01

    The Freund-Weinman multivariate exponential extension is generalized to the case of nonidentically distributed marginal distributions. A fatal shock model is given for the resulting distribution. Results in the bivariate case and the concept of constant multivariate hazard rate lead to a continuous distribution related to the multivariate exponential distribution (MVE) of Marshall and Olkin. This distribution is shown to be a special case of the extended Freund-Weinman distribution. A generalization of the bivariate model of Proschan and Sullo leads to a distribution which contains both the extended Freund-Weinman distribution and the MVE

  14. The model of sustainable socio-economic development of the national economy

    Directory of Open Access Journals (Sweden)

    O. A. Kalchenko

    2016-01-01

    Full Text Available According to the new "National security strategy of the Russian Federation, sustainable socio-economic development is the basis of national economic security. UN conceptual model of sustainable development is considered. The “Club of Rome” founder’s Aurelio Peccei point of view that world could be presented by interrelated but sufficiently stable elements: Nature, Man, Society, science-based Technique is mentioned (early 1980s. Today, sustainable socio-economic development of the national economy is determined by: Nature, Man, Society, Technology, Economy and Infrastructure. To support this opinion, statements of leading scientists, politicians, business representatives are given: A. Aganbegian, M. Friedman, V. Sidorov, V. Inozemtsev, G. Gref. The author's model of sustainable socio-economic development of the national economy is presented. The position of Russia according to the “2016 Global R&D Funding Forecast”, compiled by well-known scientific periodical “R&DMagazine” is presented. Classification of indicators groups, taken from the Russian and foreign statistical data books (Russian Statistical Yearbook, IRI, R&D Magazine, International Monetary Fund, World Bank, CIA Factbook, OECD, according to the elements of an integrated system of sustainable socio-economic development of the national economy is given. Implementation aggregating partial indices into an integrated index for each group and their population as a whole is proposed. For each private indicator is proposed to develop three levels of threshold values (acceptable, marginal and critical for sustainable socio-economic development of the national economy and security. Since innovation is a key mechanism for the concept of sustainable socio-economic development of the national economy in a new tenor of technology, the need for innovative development of all elements of the proposed integrated system is required.

  15. Does Hunger Contribute to Socioeconomic Gradients in Behavior?

    Science.gov (United States)

    Nettle, Daniel

    2017-01-01

    Recent research has uncovered many examples of socioeconomic gradients in behavior and psychological states. As yet there is no theoretical consensus on the nature of the causal processes that produce these gradients. Here, I present the hunger hypothesis, namely the claim that part of the reason that people of lower socioeconomic position behave and feel as they do is that they are relatively often hungry. The hunger hypothesis applies in particular to impulsivity-hyperactivity, irritability-aggression, anxiety, and persistent narcotic use, all of which have been found to show socioeconomic gradients. I review multiple lines of evidence showing that hunger produces strong increases in these outcomes. I also review the literatures on food insufficiency and food insecurity to show that, within affluent societies, the poor experience a substantial burden of hunger, despite obtaining sufficient or excess calories on average. This leads to the distinctive prediction that hunger is an important mediator of the relationships between socioeconomic variables and the behavioral/psychological outcomes. This approach has a number of far-reaching implications, not least that some behavioral and psychological differences between social groups, though persistent under current economic arrangements, are potentially highly reversible with changes to the distribution of financial resources and food. PMID:28344567

  16. Financial Incentive Increases CPAP Acceptance in Patients from Low Socioeconomic Background

    Science.gov (United States)

    Tarasiuk, Ariel; Reznor, Gally; Greenberg-Dotan, Sari; Reuveni, Haim

    2012-01-01

    Objective We explored whether financial incentives have a role in patients′ decisions to accept (purchase) a continuous positive airway pressure (CPAP) device in a healthcare system that requires cost sharing. Design Longitudinal interventional study. Patients The group receiving financial incentive (n = 137, 50.8±10.6 years, apnea/hypopnea index (AHI) 38.7±19.9 events/hr) and the control group (n = 121, 50.9±10.3 years, AHI 39.9±22) underwent attendant titration and a two-week adaptation to CPAP. Patients in the control group had a co-payment of $330–660; the financial incentive group paid a subsidized price of $55. Results CPAP acceptance was 43% greater (p = 0.02) in the financial incentive group. CPAP acceptance among the low socioeconomic strata (n = 113) (adjusting for age, gender, BMI, tobacco smoking) was enhanced by financial incentive (OR, 95% CI) (3.43, 1.09–10.85), age (1.1, 1.03–1.17), AHI (>30 vs. CPAP (4.29, 1.05–17.51). Among average/high-income patients (n = 145) CPAP acceptance was affected by AHI (>30 vs. CPAP adherence was similar in the financial incentive and control groups, 35% and 39%, respectively (p = 0.82). Adherence rate was sensitive to education (+yr) (1.28, 1.06–1.55) and AHI (>30 vs. CPAP acceptance among low socioeconomic status patients. Thus, financial incentive should be applied as a policy to encourage CPAP treatment, especially among low socioeconomic strata patients. PMID:22479368

  17. Multivariate Analysis and Prediction of Dioxin-Furan ...

    Science.gov (United States)

    Peer Review Draft of Regional Methods Initiative Final Report Dioxins, which are bioaccumulative and environmentally persistent, pose an ongoing risk to human and ecosystem health. Fish constitute a significant source of dioxin exposure for humans and fish-eating wildlife. Current dioxin analytical methods are costly, time-consuming, and produce hazardous by-products. A Danish team developed a novel, multivariate statistical methodology based on the covariance of dioxin-furan congener Toxic Equivalences (TEQs) and fatty acid methyl esters (FAMEs) and applied it to North Atlantic Ocean fishmeal samples. The goal of the current study was to attempt to extend this Danish methodology to 77 whole and composite fish samples from three trophic groups: predator (whole largemouth bass), benthic (whole flathead and channel catfish) and forage fish (composite bluegill, pumpkinseed and green sunfish) from two dioxin contaminated rivers (Pocatalico R. and Kanawha R.) in West Virginia, USA. Multivariate statistical analyses, including, Principal Components Analysis (PCA), Hierarchical Clustering, and Partial Least Squares Regression (PLS), were used to assess the relationship between the FAMEs and TEQs in these dioxin contaminated freshwater fish from the Kanawha and Pocatalico Rivers. These three multivariate statistical methods all confirm that the pattern of Fatty Acid Methyl Esters (FAMEs) in these freshwater fish covaries with and is predictive of the WHO TE

  18. Socioeconomic disparities in maternity care among Indian adolescents, 1990-2006.

    Directory of Open Access Journals (Sweden)

    Chandan Kumar

    Full Text Available BACKGROUND: India, with a population of more than 1.21 billion, has the highest maternal mortality in the world (estimated to be 56000 in 2010; and adolescent (aged 15-19 mortality shares 9% of total maternal deaths. Addressing the maternity care needs of adolescents may have considerable ramifications for achieving the Millennium Development Goal (MDG-5. This paper assesses the socioeconomic differentials in accessing full antenatal care and professional attendance at delivery by adolescent mothers (aged 15-19 in India during 1990-2006. METHODS AND FINDINGS: Data from three rounds of the National Family Health Survey of India conducted during 1992-93, 1998-99, and 2005-06 were analyzed. The Cochran-Armitage and Chi-squared test for linear and non-linear time trends were applied, respectively, to understand the trend in the proportion of adolescent mothers utilizing select maternity care services during 1990-2006. Using pooled multivariate logistic regression models, the probability of select maternal healthcare utilization among women by key socioeconomic characteristics was appraised. After adjusting for potential socio-demographic and economic characteristics, the likelihood of adolescents accessing full antenatal care increased by only 4% from 1990 to 2006. However, the probability of adolescent women availing themselves of professional attendance at delivery increased by 79% during the same period. The study also highlights the desolate disparities in maternity care services among adolescents across the most and the least favoured groups. CONCLUSION: Maternal care interventions in India need focused programs for rural, uneducated, poor adolescent women so that they can avail themselves of measures to delay child bearing, and for better antenatal consultation and delivery care in case of pregnancy. This study strongly advocates the promotion of a comprehensive 'adolescent scheme' along the lines of 'Continuum of Maternal, Newborn and Child

  19. Effect of socioeconomic deprivation on waiting time for cardiac surgery: retrospective cohort study

    Science.gov (United States)

    Pell, Jill P; Pell, Alastair C H; Norrie, John; Ford, Ian; Cobbe, Stuart M

    2000-01-01

    Objective To determine whether the priority given to patients referred for cardiac surgery is associated with socioeconomic status. Design Retrospective study with multivariate logistic regression analysis of the association between deprivation and classification of urgency with allowance for age, sex, and type of operation. Multivariate linear regression analysis was used to determine association between deprivation and waiting time within each category of urgency, with allowance for age, sex, and type of operation. Setting NHS waiting lists in Scotland. Participants 26 642 patients waiting for cardiac surgery, 1 January 1986 to 31 December 1997. Main outcome measures Deprivation as measured by Carstairs deprivation category. Time spent on NHS waiting list. Results Patients who were most deprived tended to be younger and were more likely to be female. Patients in deprivation categories 6 and 7 (most deprived) waited about three weeks longer for surgery than those in category 1 (mean difference 24 days, 95% confidence interval 15 to 32). Deprived patients had an odds ratio of 0.5 (0.46 to 0.61) for having their operations classified as urgent compared with the least deprived, after allowance for age, sex, and type of operation. When urgent and routine cases were considered separately, there was no significant difference in waiting times between the most and least deprived categories. Conclusions Socioeconomically deprived patients are thought to be more likely to develop coronary heart disease but are less likely to be investigated and offered surgery once it has developed. Such patients may be further disadvantaged by having to wait longer for surgery because of being given lower priority. PMID:10617517

  20. Using genetic algorithms for attribute grouping in multivariate microaggregation

    OpenAIRE

    Balasch Masoliver, Jordi; Muntés Mulero, Víctor; Nin Guerrero, Jordi

    2014-01-01

    Anonymization techniques that provide k-anonymity suffer from loss of quality when data dimensionality is high. Microaggregation techniques are not an exception. Given a set of records, attributes are grouped into non-intersecting subsets and microaggregated independently. While this improves quality by reducing the loss of information, it usually leads to the loss of the k-anonymity property, increasing entity disclosure risk. In spite of this, grouping attributes is still a common practice ...

  1. Psychopathic traits in young offenders vs. non-offenders in similar socioeconomic condition

    Directory of Open Access Journals (Sweden)

    Gustavo B. Castellana

    2014-09-01

    Full Text Available Objective: To analyze the differences in psychopathic traits between offender and non-offender youths with similar socioeconomic backgrounds. Method: The Psychopathy Checklist Revised (PCL-R scale was used to identify whether 39 young offenders with no history of mental disorders or criteria for psychopathy exhibited differences in its total score, and specifically for factor 1 or factor 2 of this scale, when compared with 32 other young people, living in similar socioeconomic conditions, who had not committed offenses. Results: We observed statistically significant between-group differences (p < 0.01 in mean PCL-R scores, with a mean score of 13.4 in the offender group vs. 2.1 in the non-offender group. We also detected significant between-group differences when we analyzed mean factor 1 (p < 0.01 and factor 2 (p < 0.01 scores separately. Although the groups exhibited statistically significant difference in educational attainment, between-group comparison of mean PCL-R scores controlling for educational attainment by analysis of covariance (ANCOVA showed that the difference in PCL-R scores remained statistically significant (p < 0.01. Conclusions: We conclude that, in this sample, the presence of both primary (interpersonal/affective characteristics and secondary (lifestyle/antisocial behavior psychopathic traits differed between offender and non-offender youths, even when excluding psychopathy and other mental disorders from the assessments. These results suggest a need for wide-ranging interventions, not restricted to socioeconomic aspects, for the management of juvenile delinquency.

  2. Testicular microlithiasis is associated with ethnicity and socioeconomic status

    DEFF Research Database (Denmark)

    Pedersen, Malene Roland Vils; Bartlett, Emily C; Rafaelsen, Søren Rafael

    2017-01-01

    BACKGROUND: There are limited studies about testicular microlithiasis (TML) and background information such as health, lifestyle, and socioeconomic status. PURPOSE: To assess the prevalence of TML in relation to socioeconomic status and ethnicity. MATERIAL AND METHODS: From a database of scrotal...... on the examination report and a representative image obtained and stored. A total of 1105 cases with TML were reviewed and random sample of 1105 controls from the same database was also reviewed. Demographics were recorded including ethnicity (white, black, and others) and socioeconomic groups (IMD Quintile......). RESULTS: Black men had increased prevalence of TML (odds ratio [OR] = 2.17, 95% confidence interval [CI] = 1.72-2.75) compared with white men. Among the 1105 TML cases, 423 (38.3%) were white, 273 (24.7%) black, 152 (13.8%) had other ethnicities, and 257 (23.2%) had no ethnicity recorded. In the control...

  3. Does job strain mediate the effect of socioeconomic group on smoking behaviour? The impact of different health policies in Denmark and Sweden

    DEFF Research Database (Denmark)

    Andersen, Ingelise; Rasmussen, Niels Kr; Ostergren, P O

    2008-01-01

    AIMS: The aim was to compare the impact of socioeconomic groups (SEG) on the risk of being a daily smoker or quitter, and to investigate whether the potentially mediating effect of psychosocial working conditions was similar in the Danish and the Swedish populations. METHODS: The study populations....... The association between SEG, current smoking, quitting, and influence at work, job demand and jobstrain, respectively, was tested by means of logistic regression. RESULTS: The contextual determinants defined by country had a different effect on smoking prevalence among men and women and among age groups. Low...... and more socially skewed among the Swedes, but did not mediate the effect of SEG on smoking behaviour. CONCLUSIONS: The smoking prevalence was lower and the quit-rates higher among Swedes than Danes. Both countries had social differences in smoking that in absolute terms were rather similar...

  4. Socioeconomic status and exposure to outdoor NO2 and benzene in the Asturias INMA birth cohort, Spain.

    Science.gov (United States)

    Fernández-Somoano, Ana; Tardon, Adonina

    2014-01-01

    It is commonly assumed that low socioeconomic levels are associated with greater exposure to pollution, but this is not necessarily valid. Our goal was to examine how individual socioeconomic characteristics are associated with exposure levels in a Spanish region included in the INfancia y Medio Ambiente (INMA) cohort. The study population comprised 430 pregnant women from the Asturias INMA cohort. Air pollution exposure was estimated using land-use regression techniques. Information about the participants' lifestyle and socioeconomic variables was collected through questionnaires. In multivariate analysis, the levels of NO2 and benzene assigned to each woman were considered as dependent variables. Other variables included in the models were residential zone, age, education, parity, smoking, season, working status during pregnancy and social class. The average NO2 level was 23.60 (SD=6.50) μg/m(3). For benzene, the mean value was 2.31 (SD=1.32) μg/m(3). We found no association of any pollutant with education. We observed an association between social class and benzene levels. Social classes I and II had the highest levels. The analysed socioeconomic and lifestyle variables accounted for little variability in air pollution in the models; this variability was explained mainly by residential zone (adjusted R(2): 0.27 for NO2; 0.09 for benzene). Education and social class were not clearly associated with pollution. Administrations should monitor the environment of residential areas regardless of the socioeconomic level, and they should increase the distances between housing and polluting sources to prevent settlements at distances that are harmful to health.

  5. Socioeconomic inequalities in the access to and quality of health care services

    Directory of Open Access Journals (Sweden)

    Bruno Pereira Nunes

    2014-12-01

    Full Text Available OBJECTIVE To assess the inequalities in access, utilization, and quality of health care services according to the socioeconomic status. METHODS This population-based cross-sectional study evaluated 2,927 individuals aged ≥ 20 years living in Pelotas, RS, Southern Brazil, in 2012. The associations between socioeconomic indicators and the following outcomes were evaluated: lack of access to health services, utilization of services, waiting period (in days for assistance, and waiting time (in hours in lines. We used Poisson regression for the crude and adjusted analyses. RESULTS The lack of access to health services was reported by 6.5% of the individuals who sought health care. The prevalence of use of health care services in the 30 days prior to the interview was 29.3%. Of these, 26.4% waited five days or more to receive care and 32.1% waited at least an hour in lines. Approximately 50.0% of the health care services were funded through the Unified Health System. The use of health care services was similar across socioeconomic groups. The lack of access to health care services and waiting time in lines were higher among individuals of lower economic status, even after adjusting for health care needs. The waiting period to receive care was higher among those with higher socioeconomic status. CONCLUSIONS Although no differences were observed in the use of health care services across socioeconomic groups, inequalities were evident in the access to and quality of these services.

  6. Adjudicating socioeconomic rights

    African Journals Online (AJOL)

    Christo Heunis

    It is trite to say that the adjudication of socio-economic rights is a new enterprise in South African jurisprudence, as it is to the jurisprudence of many other jurisdictions. Professor van Rensburg's paper seeks to analyse the influence of political, socio-economic and cultural considerations on the interpretation and application ...

  7. Hypnotics and mortality – confounding by disease and socioeconomic position

    DEFF Research Database (Denmark)

    Kriegbaum, Margit; Hendriksen, Carsten; Vass, Mikkel

    2015-01-01

    Purpose The aim of this Cohort study of 10 527 Danish men was to investigate the extent to which the association between hypnotics and mortality is confounded by several markers of disease and living conditions. Methods Exposure was purchases of hypnotics 1995–1999 (“low users” (150 or less defined......% confidence intervals (CI). Results When covariates were entered one at a time, the changes in HR estimates showed that psychiatric disease, socioeconomic position and substance abuse reduced the excess risk by 17–36% in the low user group and by 45–52% in the high user group. Somatic disease, intelligence...... point at psychiatric disease, substance abuse and socioeconomic position as potential confounding factors partly explaining the association between use of hypnotics and all-cause mortality....

  8. Post-millennial trends of socioeconomic inequalities in chronic illness among adults in Germany.

    Science.gov (United States)

    Hoebel, Jens; Kuntz, Benjamin; Moor, Irene; Kroll, Lars Eric; Lampert, Thomas

    2018-03-27

    Time trends in health inequalities have scarcely been studied in Germany as only few national data have been available. In this paper, we explore trends in socioeconomic inequalities in the prevalence of chronic illness using Germany-wide data from four cross-sectional health surveys conducted between 2003 and 2012 (n = 54,197; ages 25-69 years). We thereby expand a prior analysis on post-millennial inequality trends in behavioural risk factors by turning the focus to chronic illness as the outcome measure. The regression-based slope index of inequality (SII) and relative index of inequality (RII) were calculated to estimate the extent of absolute and relative socioeconomic inequalities in chronic illness, respectively. The results for men revealed a significant increase in the extent of socioeconomic inequalities in chronic illness between 2003 and 2012 on both the absolute and relative scales (SII 2003  = 0.06, SII 2012  = 0.17, p-trend = 0.013; RII 2003  = 1.18, RII 2012  = 1.57, p-trend = 0.013). In women, similar increases in socioeconomic inequalities in chronic illness were found (SII 2003  = 0.05, SII 2012  = 0.14, p-trend = 0.022; RII 2003  = 1.14, RII 2012  = 1.40, p-trend = 0.021). Whereas in men this trend was driven by an increasing prevalence of chronic illness in the low socioeconomic group, the trend in women was predominantly the result of a declining prevalence in the high socioeconomic group.

  9. Session II-E. Socioeconomic evaluations

    International Nuclear Information System (INIS)

    Finley, J.R.

    1981-01-01

    Major tasks of the socioeconomic program are designed to address and resolve issues raised by federal, state, and local agencies and the public, and to meet legal and regulatory requirements. The tasks are intended to: (1) characterize socioeconomic and other nontechnical issues, and recommend possible resolution, (2) develop socioeconomic impact methodologies and provide impact assessments, (3) design and implement a community development approach to impact mitigation, and (4)conduct institutional and organizational analyses. The following papers relate to these socioeconomic tasks: (1) an integrated approach to socioeconomic considerations in nuclear waste management; (2)ethical considerations surrounding nuclear waste isolation and mitigation; (3) institutional issues in transportation of nuclear wastes; (4) framework for evaluating the utility of incentive systems for radioactive waste repository siting; (5)special issues in impact mitigation; (6) effective programs for public participation in siting large public facilities; (7) a program for community development assistance; and (8) examination of factors affecting socioeconomic mitigation costs

  10. Socioeconomic differences in emotional symptoms among adolescents in the Nordic countries: recommendations on how to present inequality.

    Science.gov (United States)

    Nielsen, Line; Damsgaard, Mogens Trab; Meilstrup, Charlotte; Due, Pernille; Madsen, Katrine Rich; Koushede, Vibeke; Holstein, Bjørn Evald

    2015-02-01

    This comparative study examines absolute and relative socioeconomic differences in emotional symptoms among adolescents using standardised data from five Nordic countries and gives recommendations on how to present socioeconomic inequality. The Health Behaviour in School-aged Children (HBSC) international cross-sectional study from 2005/2006 provided data on 29,642 11-15-year-old adolescents from nationally random samples in Denmark, Finland, Iceland, Norway and Sweden. The outcome was daily emotional symptoms. Family Affluence Scale (FAS) was used as indicator of socioeconomic position. We applied four summary measures of inequality: Prevalence Difference, Odds Ratio, Slope Index of Inequality and Relative Index of Inequality, and presented the socioeconomic inequality by a graphical illustration of the prevalence of emotional symptoms, the size of the FAS groups and the summary indices of inequality in each country. The prevalence of emotional symptoms ranged from 8.1% in Denmark to 13.2% in Iceland. There were large country variations in the size of the low FAS-group ranging from 2% in Iceland to 12% in Finland. The largest absolute and relative socioeconomic inequalities were found in Iceland and the smallest in Finland for girls and in Denmark for boys. Emotional symptoms were more common among nordic adolescents from low affluence families this association appeared in the study of both absolute and relative inequality. A comprehensive presentation of socioeconomic inequality should include the prevalence of the health outcome, the size of the socioeconomic groups, and the regression line representing the summary indices of inequality. © 2014 the Nordic Societies of Public Health.

  11. Socioeconomic inequality in domains of health: results from the World Health Surveys

    Directory of Open Access Journals (Sweden)

    Hosseinpoor Ahmad

    2012-03-01

    Full Text Available Abstract Background In all countries people of lower socioeconomic status evaluate their health more poorly. Yet in reporting overall health, individuals consider multiple domains that comprise their perceived health state. Considered alone, overall measures of self-reported health mask differences in the domains of health. The aim of this study is to compare and assess socioeconomic inequalities in each of the individual health domains and in a separate measure of overall health. Methods Data on 247,037 adults aged 18 or older were analyzed from 57 countries, drawn from all national income groups, participating in the World Health Survey 2002-2004. The analysis was repeated for lower- and higher-income countries. Prevalence estimates of poor self-rated health (SRH were calculated for each domain and for overall health according to wealth quintiles and education levels. Relative socioeconomic inequalities in SRH were measured for each of the eight health domains and for overall health, according to wealth quintiles and education levels, using the relative index of inequality (RII. A RII value greater than one indicated greater prevalence of self-reported poor health among populations of lower socioeconomic status, called pro-rich inequality. Results There was a descending gradient in the prevalence of poor health, moving from the poorest wealth quintile to the richest, and moving from the lowest to the highest educated groups. Inequalities which favor groups who are advantaged either with respect to wealth or education, were consistently statistically significant in each of the individual domains of health, and in health overall. However the size of these inequalities differed between health domains. The prevalence of reporting poor health was higher in the lower-income country group. Relative socioeconomic inequalities in the health domains and overall health were higher in the higher-income country group than the lower-income country group

  12. An overview of multivariate gamma distributions as seen from a (multivariate) matrix exponential perspective

    DEFF Research Database (Denmark)

    Bladt, Mogens; Nielsen, Bo Friis

    2012-01-01

    Laplace transform. In a longer perspective stochastic and statistical analysis for MVME will in particular apply to any of the previously defined distributions. Multivariate gamma distributions have been used in a variety of fields like hydrology, [11], [10], [6], space (wind modeling) [9] reliability [3......Numerous definitions of multivariate exponential and gamma distributions can be retrieved from the literature [4]. These distribtuions belong to the class of Multivariate Matrix-- Exponetial Distributions (MVME) whenever their joint Laplace transform is a rational function. The majority...... of these distributions further belongs to an important subclass of MVME distributions [5, 1] where the multivariate random vector can be interpreted as a number of simultaneously collected rewards during sojourns in a the states of a Markov chain with one absorbing state, the rest of the states being transient. We...

  13. Associations of socioeconomic factors with inadequate dietary intake in food aid users in France (The ABENA study 2004-2005).

    Science.gov (United States)

    Méjean, C; Deschamps, V; Bellin-Lestienne, C; Oleko, A; Darmon, N; Hercberg, S; Serge, H; Castetbon, K; Katia, C

    2010-04-01

    Few studies in Europe have examined the relationship of sociodemographic and economic factors with diet in deprived populations. We analysed the association between socioeconomic characteristics and consumption of different food groups in food aid users. A cross-sectional study was conducted among food aid users in four urban French zones (n=1664). Associations of sociodemographic and economic factors and food aid use with frequency of consumption of the main food groups were tested using multivariate logistic regression models accounting for sampling weights. Both migrant status and consumption of fewer than three daily meals were associated with risk of low frequency of starchy food consumption (status was also associated with low frequency of consumption of fruits and vegetables (food insufficiency were more likely to be low consumers of fruits and vegetables, meat, seafood and eggs (food budget, temporary housing in a shelter and no source of household income were all associated with risk of low frequency of seafood consumption (food aid use, type of food aid distribution and perception of poor health status were associated with low consumption of meat, seafood and eggs. Economic level and other social characteristics were associated with an unhealthy diet within this deprived French population.

  14. Multivariate Birkhoff interpolation

    CERN Document Server

    Lorentz, Rudolph A

    1992-01-01

    The subject of this book is Lagrange, Hermite and Birkhoff (lacunary Hermite) interpolation by multivariate algebraic polynomials. It unifies and extends a new algorithmic approach to this subject which was introduced and developed by G.G. Lorentz and the author. One particularly interesting feature of this algorithmic approach is that it obviates the necessity of finding a formula for the Vandermonde determinant of a multivariate interpolation in order to determine its regularity (which formulas are practically unknown anyways) by determining the regularity through simple geometric manipulations in the Euclidean space. Although interpolation is a classical problem, it is surprising how little is known about its basic properties in the multivariate case. The book therefore starts by exploring its fundamental properties and its limitations. The main part of the book is devoted to a complete and detailed elaboration of the new technique. A chapter with an extensive selection of finite elements follows as well a...

  15. Multivariate multiscale entropy of financial markets

    Science.gov (United States)

    Lu, Yunfan; Wang, Jun

    2017-11-01

    In current process of quantifying the dynamical properties of the complex phenomena in financial market system, the multivariate financial time series are widely concerned. In this work, considering the shortcomings and limitations of univariate multiscale entropy in analyzing the multivariate time series, the multivariate multiscale sample entropy (MMSE), which can evaluate the complexity in multiple data channels over different timescales, is applied to quantify the complexity of financial markets. Its effectiveness and advantages have been detected with numerical simulations with two well-known synthetic noise signals. For the first time, the complexity of four generated trivariate return series for each stock trading hour in China stock markets is quantified thanks to the interdisciplinary application of this method. We find that the complexity of trivariate return series in each hour show a significant decreasing trend with the stock trading time progressing. Further, the shuffled multivariate return series and the absolute multivariate return series are also analyzed. As another new attempt, quantifying the complexity of global stock markets (Asia, Europe and America) is carried out by analyzing the multivariate returns from them. Finally we utilize the multivariate multiscale entropy to assess the relative complexity of normalized multivariate return volatility series with different degrees.

  16. Quantifying the contribution of statins to the decline in population mean cholesterol by socioeconomic group in England 1991 - 2012: a modelling study.

    Directory of Open Access Journals (Sweden)

    Chris Kypridemos

    Full Text Available Serum total cholesterol is one of the major targets for cardiovascular disease prevention. Statins are effective for cholesterol control in individual patients. At the population level, however, their contribution to total cholesterol decline remains unclear. The aim of this study was to quantify the contribution of statins to the observed fall in population mean cholesterol levels in England over the past two decades, and explore any differences between socioeconomic groups.This is a modelling study based on data from the Health Survey for England. We analysed changes in observed mean total cholesterol levels in the adult England population between 1991-92 (baseline and 2011-12. We then compared the observed changes with a counterfactual 'no statins' scenario, where the impact of statins on population total cholesterol was estimated and removed. We estimated uncertainty intervals (UI using Monte Carlo simulation, where confidence intervals (CI were impractical. In 2011-12, 13.2% (95% CI: 12.5-14.0% of the English adult population used statins at least once per week, compared with 1991-92 when the proportion was just 0.5% (95% CI: 0.3-1.0%. Between 1991-92 and 2011-12, mean total cholesterol declined from 5.86 mmol/L (95% CI: 5.82-5.90 to 5.17 mmol/L (95% CI: 5.14-5.20. For 2011-12, mean total cholesterol was lower in more deprived groups. In our 'no statins' scenario we predicted a mean total cholesterol of 5.36 mmol/L (95% CI: 5.33-5.40 for 2011-12. Statins were responsible for approximately 33.7% (95% UI: 28.9-38.8% of the total cholesterol reduction since 1991-92. The statin contribution to cholesterol reduction was greater among the more deprived groups of women, while showing little socio-economic gradient among men.Our model suggests that statins explained around a third of the substantial falls in total cholesterol observed in England since 1991. Approximately two thirds of the cholesterol decrease can reasonably be attributed non

  17. Socio-Economic Differentials in Contraceptive Discontinuation in India

    Directory of Open Access Journals (Sweden)

    Kiran Agrahari

    2016-05-01

    Full Text Available Fertility divergence amid declining in use of modern contraception in many states of India needs urgent research and programmatic attention. Although utilization of antenatal, natal, and post-natal care has shown spectacular increase in post National Rural Health Mission (NRHM period, the contraceptive use had shown a declining trend. Using the calendar data from the National Family Health Survey–3, this article examines the reasons of contraceptive discontinuation among spacing method users by socio-economic groups in India. Bivariate and multivariate analyses and life table discontinuation rates are used in the analyses. Results suggest that about half of the pill users, two fifths of the condom users, one third of traditional method users, and one fifth of IUD users discontinue a method in first 12 months of use. However, the discontinuation of all three modern spacing methods declines in subsequent period (within 12-36 months. The probability of method failure was highest among traditional method users and higher among poor and less educated that may lead to unwanted/mistimed birth. Although discontinuation of condom declines with economic status, it does not show any large variation for pill users. The contraceptive discontinuation was significantly associated with duration of use, age, parity, contraceptive method, religion, and contraceptive intention. Based on these findings, it is suggested that follow-up services to modern spacing method users, increasing counseling for spacing method users, motivating the traditional method user to use modern spacing method, and improving the overall quality of family planning services can reduce the discontinuation of spacing method.

  18. Socioeconomic predictors of cognition in Ugandan children: implications for community interventions.

    Directory of Open Access Journals (Sweden)

    Paul Bangirana

    2009-11-01

    Full Text Available Several interventions to improve cognition in at risk children have been suggested. Identification of key variables predicting cognition is necessary to guide these interventions. This study was conducted to identify these variables in Ugandan children and guide such interventions.A cohort of 89 healthy children (45 females aged 5 to 12 years old were followed over 24 months and had cognitive tests measuring visual spatial processing, memory, attention and spatial learning administered at baseline, 6 months and 24 months. Nutritional status, child's educational level, maternal education, socioeconomic status and quality of the home environment were also measured at baseline. A multivariate, longitudinal model was then used to identify predictors of cognition over the 24 months.A higher child's education level was associated with better memory (p = 0.03, attention (p = 0.005 and spatial learning scores over the 24 months (p = 0.05; higher nutrition scores predicted better visual spatial processing (p = 0.002 and spatial learning scores (p = 0.008; and a higher home environment score predicted a better memory score (p = 0.03.Cognition in Ugandan children is predicted by child's education, nutritional status and the home environment. Community interventions to improve cognition may be effective if they target multiple socioeconomic variables.

  19. Socioeconomic inequalities in dental health services in Sao Paulo, Brazil, 2003-2008.

    Science.gov (United States)

    Monteiro, Camila Nascimento; Beenackers, Mariëlle A; Goldbaum, Moisés; de Azevedo Barros, Marilisa Berti; Gianini, Reinaldo José; Cesar, Chester Luiz Galvão; Mackenbach, Johan P

    2016-12-07

    Access to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the "Smiling Brazil" Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in São Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored. Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups. The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. Acquiring deeper knowledge about inequalities in dental health service use will contribute to better understanding of potential barriers to reducing them.

  20. [The relationship between the oral health and socioeconomic characteristics of chronic kidney disease patients undergoing haemodialysis treatment or kidney transplant].

    Science.gov (United States)

    Navia-Jutchenko, María F; Muñoz-López, Eliana E; López-Soto, Olga P

    2013-01-01

    Characterising the oral health of patients undergoing different types of dialysis or kidney transplant. This was a descriptive study which involved multivariate analysis of information taken from an initial database regarding 336 patients; 49 % were receiving haemodialysis, 34 % peritoneal dialysis, 7 % pre-dialysis and 10 % kidney transplant. Illustrative variables were age, gender, marital status, occupation, education, oral hygiene and gingival indexes, flossing, decayed, missing, and filled teeth (DMFT) index, renal disease aetiology and type of dialysis being received. A hierarchical clustering method was used. Four groups of patients were identified. Class 1 (37.8 %) consisted of unmarried men having had secondary education and having good oral hygiene, very high DMFT, with haemodialysis but no stomatological pathology. Class 2 (20.24 %) included haemodialysis patients who had received elementary education, were unemployed, had inadequate oral hygiene, severe gingivitis, very high DMF rate and high Candida frequency. Class 3 (31.2 %) included women undergoing peritoneal dialysis who were over 70 years old, had received elementary education, were housewives, edentulous and who had loss of vertical dimension. Class 4 (10.7 %) included men who had received renal transplant, secondary education and were employees; one third of them were edentulous and had soft tissue alterations. Multivariate analysis indicated a possible relationship between the type of dialysis received and patients' socioeconomic characteristics regarding oral health status.

  1. Associations between the neighbourhood food environment, neighbourhood socioeconomic status, and diet quality: An observational study

    Directory of Open Access Journals (Sweden)

    Maria McInerney

    2016-09-01

    Full Text Available Abstract Background The neighbourhood environment may play an important role in diet quality. Most previous research has examined the associations between neighbourhood food environment and diet quality, and neighbourhood socioeconomic status and diet quality separately. This study investigated the independent and joint effects of neighbourhood food environment and neighbourhood socioeconomic status in relation to diet quality in Canadian adults. Methods We undertook a cross-sectional study with n = 446 adults in Calgary, Alberta (Canada. Individual-level data on diet and socio-demographic and health-related characteristics were captured from two self-report internet-based questionnaires, the Canadian Diet History Questionnaire II (C-DHQ II and the Past Year Physical Activity Questionnaire (PAQ. Neighbourhood environment data were derived from dissemination area level Canadian Census data, and Geographical Information Systems (GIS databases. Neighbourhood was defined as a 400 m network-based ‘walkshed’ around each participant’s household. Using GIS we objectively-assessed the density, diversity, and presence of specific food destination types within the participant’s walkshed. A seven variable socioeconomic deprivation index was derived from Canadian Census variables and estimated for each walkshed. The Canadian adapted Healthy Eating Index (C-HEI, used to assess diet quality was estimated from food intakes reported on C-DHQ II. Multivariable linear regression was used to test for associations between walkshed food environment variables, walkshed socioeconomic status, and diet quality (C-HEI, adjusting for individual level socio-demographic and health-related covariates. Interaction effects between walkshed socioeconomic status and walkshed food environment variables on diet quality (C-HEI were also tested. Results After adjustment for covariates, food destination density was positively associated with the C-HEI (β 0.06, 95 % CI 0

  2. Associations between the neighbourhood food environment, neighbourhood socioeconomic status, and diet quality: An observational study.

    Science.gov (United States)

    McInerney, Maria; Csizmadi, Ilona; Friedenreich, Christine M; Uribe, Francisco Alaniz; Nettel-Aguirre, Alberto; McLaren, Lindsay; Potestio, Melissa; Sandalack, Beverly; McCormack, Gavin R

    2016-09-15

    The neighbourhood environment may play an important role in diet quality. Most previous research has examined the associations between neighbourhood food environment and diet quality, and neighbourhood socioeconomic status and diet quality separately. This study investigated the independent and joint effects of neighbourhood food environment and neighbourhood socioeconomic status in relation to diet quality in Canadian adults. We undertook a cross-sectional study with n = 446 adults in Calgary, Alberta (Canada). Individual-level data on diet and socio-demographic and health-related characteristics were captured from two self-report internet-based questionnaires, the Canadian Diet History Questionnaire II (C-DHQ II) and the Past Year Physical Activity Questionnaire (PAQ). Neighbourhood environment data were derived from dissemination area level Canadian Census data, and Geographical Information Systems (GIS) databases. Neighbourhood was defined as a 400 m network-based 'walkshed' around each participant's household. Using GIS we objectively-assessed the density, diversity, and presence of specific food destination types within the participant's walkshed. A seven variable socioeconomic deprivation index was derived from Canadian Census variables and estimated for each walkshed. The Canadian adapted Healthy Eating Index (C-HEI), used to assess diet quality was estimated from food intakes reported on C-DHQ II. Multivariable linear regression was used to test for associations between walkshed food environment variables, walkshed socioeconomic status, and diet quality (C-HEI), adjusting for individual level socio-demographic and health-related covariates. Interaction effects between walkshed socioeconomic status and walkshed food environment variables on diet quality (C-HEI) were also tested. After adjustment for covariates, food destination density was positively associated with the C-HEI (β 0.06, 95 % CI 0.01-0.12, p = 0.04) though the magnitude of the

  3. Multivariate meta-analysis: Potential and promise

    Science.gov (United States)

    Jackson, Dan; Riley, Richard; White, Ian R

    2011-01-01

    The multivariate random effects model is a generalization of the standard univariate model. Multivariate meta-analysis is becoming more commonly used and the techniques and related computer software, although continually under development, are now in place. In order to raise awareness of the multivariate methods, and discuss their advantages and disadvantages, we organized a one day ‘Multivariate meta-analysis’ event at the Royal Statistical Society. In addition to disseminating the most recent developments, we also received an abundance of comments, concerns, insights, critiques and encouragement. This article provides a balanced account of the day's discourse. By giving others the opportunity to respond to our assessment, we hope to ensure that the various view points and opinions are aired before multivariate meta-analysis simply becomes another widely used de facto method without any proper consideration of it by the medical statistics community. We describe the areas of application that multivariate meta-analysis has found, the methods available, the difficulties typically encountered and the arguments for and against the multivariate methods, using four representative but contrasting examples. We conclude that the multivariate methods can be useful, and in particular can provide estimates with better statistical properties, but also that these benefits come at the price of making more assumptions which do not result in better inference in every case. Although there is evidence that multivariate meta-analysis has considerable potential, it must be even more carefully applied than its univariate counterpart in practice. Copyright © 2011 John Wiley & Sons, Ltd. PMID:21268052

  4. Multivariate pluvial flood damage models

    International Nuclear Information System (INIS)

    Van Ootegem, Luc; Verhofstadt, Elsy; Van Herck, Kristine; Creten, Tom

    2015-01-01

    Depth–damage-functions, relating the monetary flood damage to the depth of the inundation, are commonly used in the case of fluvial floods (floods caused by a river overflowing). We construct four multivariate damage models for pluvial floods (caused by extreme rainfall) by differentiating on the one hand between ground floor floods and basement floods and on the other hand between damage to residential buildings and damage to housing contents. We do not only take into account the effect of flood-depth on damage, but also incorporate the effects of non-hazard indicators (building characteristics, behavioural indicators and socio-economic variables). By using a Tobit-estimation technique on identified victims of pluvial floods in Flanders (Belgium), we take into account the effect of cases of reported zero damage. Our results show that the flood depth is an important predictor of damage, but with a diverging impact between ground floor floods and basement floods. Also non-hazard indicators are important. For example being aware of the risk just before the water enters the building reduces content damage considerably, underlining the importance of warning systems and policy in this case of pluvial floods. - Highlights: • Prediction of damage of pluvial floods using also non-hazard information • We include ‘no damage cases’ using a Tobit model. • The damage of flood depth is stronger for ground floor than for basement floods. • Non-hazard indicators are especially important for content damage. • Potential gain of policies that increase awareness of flood risks

  5. Multivariate pluvial flood damage models

    Energy Technology Data Exchange (ETDEWEB)

    Van Ootegem, Luc [HIVA — University of Louvain (Belgium); SHERPPA — Ghent University (Belgium); Verhofstadt, Elsy [SHERPPA — Ghent University (Belgium); Van Herck, Kristine; Creten, Tom [HIVA — University of Louvain (Belgium)

    2015-09-15

    Depth–damage-functions, relating the monetary flood damage to the depth of the inundation, are commonly used in the case of fluvial floods (floods caused by a river overflowing). We construct four multivariate damage models for pluvial floods (caused by extreme rainfall) by differentiating on the one hand between ground floor floods and basement floods and on the other hand between damage to residential buildings and damage to housing contents. We do not only take into account the effect of flood-depth on damage, but also incorporate the effects of non-hazard indicators (building characteristics, behavioural indicators and socio-economic variables). By using a Tobit-estimation technique on identified victims of pluvial floods in Flanders (Belgium), we take into account the effect of cases of reported zero damage. Our results show that the flood depth is an important predictor of damage, but with a diverging impact between ground floor floods and basement floods. Also non-hazard indicators are important. For example being aware of the risk just before the water enters the building reduces content damage considerably, underlining the importance of warning systems and policy in this case of pluvial floods. - Highlights: • Prediction of damage of pluvial floods using also non-hazard information • We include ‘no damage cases’ using a Tobit model. • The damage of flood depth is stronger for ground floor than for basement floods. • Non-hazard indicators are especially important for content damage. • Potential gain of policies that increase awareness of flood risks.

  6. Socioeconomic Determinants of Ciprofloxacin-Resistant Shigella Infections in Bangladeshi Children

    Directory of Open Access Journals (Sweden)

    Randon J. Gruninger

    2017-03-01

    Full Text Available Background: Shigella species (spp. are a leading cause of moderate to severe diarrhea in children worldwide. The recent emergence of quinolone-resistant Shigella spp. gives cause for concern, and South Asia has been identified as a reservoir for global spread. The influence of socioeconomic status on antimicrobial resistance in developing countries, such as those in South Asia, remains unknown. Methods: We used data collected from 2009 to 2014 from a hospital specializing in the treatment of diarrhea in Dhaka, Bangladesh, to determine the relationship between ciprofloxacin-resistant Shigella spp. isolates and measures of socioeconomic status in Bangladeshi children less than 5 years of age. Results: We found 2.7% (230/8, 672 of children who presented with diarrhea had Shigella spp. isolated from their stool, and 50% (115/230 had resistance to ciprofloxacin. Using multivariable logistic regression analysis, we found that children from families where the father’s income was in the highest quintile had significantly higher odds of having ciprofloxacin-resistant Shigella spp. compared to children in the lowest quintile (OR = 6.1, CI 1.9-19. Factors protective against the development of resistance included access to improved sanitation (OR = 0.27, CI 0.11-0.7, and improved water sources (OR = 0.48, CI 0.25-0.92. We did not find a relationship between ciprofloxacin resistance and other proxies for socioeconomic status, including the presence of animals in the home, nutritional status, paternal education level, and the number of family members in the home. Conclusions: Although the associations between wealth and antimicrobial resistance are not fully understood, possible explanations include increased access and use of antibiotics, greater access to healthcare facilities and thus resistant pathogens, or greater consumption of commercially produced foods prepared with antibiotics.

  7. Understanding socio-economic inequalities in food choice behaviour: can Maslow's pyramid help?

    Science.gov (United States)

    van Lenthe, Frank J; Jansen, Tessa; Kamphuis, Carlijn B M

    2015-04-14

    Socio-economic groups differ in their material, living, working and social circumstances, which may result in different priorities about their daily-life needs, including the priority to make healthy food choices. Following Maslow's hierarchy of human needs, we hypothesised that socio-economic inequalities in healthy food choices can be explained by differences in the levels of need fulfilment. Postal survey data collected in 2011 (67·2 % response) from 2903 participants aged 20-75 years in the Dutch GLOBE (Gezondheid en Levens Omstandigheden Bevolking Eindhoven en omstreken) study were analysed. Maslow's hierarchy of human needs (measured with the Basic Need Satisfaction Inventory) was added to age- and sex-adjusted linear regression models that linked education and net household income levels to healthy food choices (measured by a FFQ). Most participants (38·6 %) were in the self-actualisation layer of the pyramid. This proportion was highest among the highest education group (47·6 %). Being in a higher level of the hierarchy was associated with a higher consumption of fruits and vegetables as well as more healthy than unhealthy bread, snack and dairy consumption. Educational inequalities in fruit and vegetable intake (B= -1·79, 95 % CI -2·31, -1·28 in the lowest education group) were most reduced after the hierarchy of needs score was included (B= -1·57, 95 % CI - ·09, -1·05). Inequalities in other healthy food choices hardly changed after the hierarchy of needs score was included. People who are satisfied with higher-level needs make healthier food choices. Studies aimed at understanding socio-economic inequalities in food choice behaviour need to take differences in the priority given to daily-life needs by different socio-economic groups into account, but Maslow's pyramid offers little help.

  8. Effect of some Socio-economic Factors on the Nutritional Status of ...

    African Journals Online (AJOL)

    Effect of some Socio-economic Factors on the Nutritional Status of Pregnant ... Conclusion: The need for nutrition education, women empowerment, health support and ... in reducing prevalence of malnutrition among these vulnerable groups.

  9. Neighbourhood socioeconomic inequalities in incidence of acute myocardial infarction: a cohort study quantifying age- and gender-specific differences in relative and absolute terms.

    Science.gov (United States)

    Koopman, Carla; van Oeffelen, Aloysia A M; Bots, Michiel L; Engelfriet, Peter M; Verschuren, W M Monique; van Rossem, Lenie; van Dis, Ineke; Capewell, Simon; Vaartjes, Ilonca

    2012-08-07

    Socioeconomic status has a profound effect on the risk of having a first acute myocardial infarction (AMI). Information on socioeconomic inequalities in AMI incidence across age-gender-groups is lacking. Our objective was to examine socioeconomic inequalities in the incidence of AMI considering both relative and absolute measures of risk differences, with a particular focus on age and gender. We identified all patients with a first AMI from 1997 to 2007 through linked hospital discharge and death records covering the Dutch population. Relative risks (RR) of AMI incidence were estimated by mean equivalent household income at neighbourhood-level for strata of age and gender using Poisson regression models. Socioeconomic inequalities were also shown within the stratified age-gender groups by calculating the total number of events attributable to socioeconomic disadvantage. Between 1997 and 2007, 317,564 people had a first AMI. When comparing the most deprived socioeconomic quintile with the most affluent quintile, the overall RR for AMI was 1.34 (95 % confidence interval (CI): 1.32-1.36) in men and 1.44 (95 % CI: 1.42-1.47) in women. The socioeconomic gradient decreased with age. Relative socioeconomic inequalities were most apparent in men under 35 years and in women under 65 years. The largest number of events attributable to socioeconomic inequalities was found in men aged 45-74 years and in women aged 65-84 years. The total proportion of AMIs that was attributable to socioeconomic inequalities in the Dutch population of 1997 to 2007 was 14 % in men and 18 % in women. Neighbourhood socioeconomic inequalities were observed in AMI incidence in the Netherlands, but the magnitude across age-gender groups depended on whether inequality was expressed in relative or absolute terms. Relative socioeconomic inequalities were high in young persons and women, where the absolute burden of AMI was low. Absolute socioeconomic inequalities in AMI were highest in

  10. The politics of socioeconomic status: how socioeconomic status may influence political attitudes and engagement.

    Science.gov (United States)

    Brown-Iannuzzi, Jazmin L; Lundberg, Kristjen B; McKee, Stephanie

    2017-12-01

    Socioeconomic status is hypothesized to be one factor informing political attitudes and actions. Presumably, this relationship is rooted in economic self-interest, with individuals preferring policies that would benefit them financially. In addition, these economic policy preferences are assumed to translate into political action. However, the relationships between socioeconomic status and political attitudes and behavior, as well as the psychological mechanisms associated with those relationships, are not straightforward. Here, we briefly review the current state of knowledge on the relationships between socioeconomic status and political attitudes and behavior. Overall, the research suggests that while socioeconomic status informs political attitudes toward economic policies, these attitudes may not correlate with complementary political behavior. Copyright © 2017. Published by Elsevier Ltd.

  11. Growth evaluation of a group of children enrolled in public schools in Rabat, Morocco: the role of socioeconomic factors

    Directory of Open Access Journals (Sweden)

    Cherkaoui Dekkaki I

    2013-09-01

    Full Text Available Imane Cherkaoui Dekkaki,1 Said Ettair,1 Toufik Meskini,1 Nabil Khalloufi,2 Nezha Mouane,1 Amina Barkat21Unité de Pédagogie et de Recherche en Nutrition, 2CRECET, Université Mohammed V, Faculté de Médecine et de Pharmacie de Rabat, Souissi, Rabat, MoroccoObjectives: The aim of this study was to assess the prevalence of underweight, stunting, and the socioeconomic risk factors among children enrolled in primary public schools in Rabat, Morocco.Methods: Twenty-three schools were randomly selected. A cross-sectional study was conducted between April and June 2010. The survey was conducted on the basis of two questionnaires for both parents and children. The references used were from the World Health Organization, 2007.Results: Our study focused on a sample of 1569 children whose average age was 9.7 ± 0.95 years. The prevalence of underweight among girls and boys was 43.1%, while that of stunting was 18.2%. The majority of the children in our population come from a low socioeconomic level. While 59% of fathers are laborers, 85% of mothers are unemployed.Conclusion: In our study, we demonstrated that child malnutrition is strongly linked to a low socioeconomic level. These observations suggest that besides income, schooling and food quality may also be important factors that can affect growth. Educational programs, whether held in schools or informally, such as literacy or parenting classes, are valuable complements to other nutrition sustaining activities.Keywords: underweight, stunting, malnutrition, children, low socioeconomic level

  12. Multivariate refined composite multiscale entropy analysis

    International Nuclear Information System (INIS)

    Humeau-Heurtier, Anne

    2016-01-01

    Multiscale entropy (MSE) has become a prevailing method to quantify signals complexity. MSE relies on sample entropy. However, MSE may yield imprecise complexity estimation at large scales, because sample entropy does not give precise estimation of entropy when short signals are processed. A refined composite multiscale entropy (RCMSE) has therefore recently been proposed. Nevertheless, RCMSE is for univariate signals only. The simultaneous analysis of multi-channel (multivariate) data often over-performs studies based on univariate signals. We therefore introduce an extension of RCMSE to multivariate data. Applications of multivariate RCMSE to simulated processes reveal its better performances over the standard multivariate MSE. - Highlights: • Multiscale entropy quantifies data complexity but may be inaccurate at large scale. • A refined composite multiscale entropy (RCMSE) has therefore recently been proposed. • Nevertheless, RCMSE is adapted to univariate time series only. • We herein introduce an extension of RCMSE to multivariate data. • It shows better performances than the standard multivariate multiscale entropy.

  13. Multivariate Generalized Multiscale Entropy Analysis

    Directory of Open Access Journals (Sweden)

    Anne Humeau-Heurtier

    2016-11-01

    Full Text Available Multiscale entropy (MSE was introduced in the 2000s to quantify systems’ complexity. MSE relies on (i a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales; (ii the computation of the sample entropy for each coarse-grained time series. A refined composite MSE (rcMSE—based on the same steps as MSE—also exists. Compared to MSE, rcMSE increases the accuracy of entropy estimation and reduces the probability of inducing undefined entropy for short time series. The multivariate versions of MSE (MMSE and rcMSE (MrcMSE have also been introduced. In the coarse-graining step used in MSE, rcMSE, MMSE, and MrcMSE, the mean value is used to derive representations of the original data at different resolutions. A generalization of MSE was recently published, using the computation of different moments in the coarse-graining procedure. However, so far, this generalization only exists for univariate signals. We therefore herein propose an extension of this generalized MSE to multivariate data. The multivariate generalized algorithms of MMSE and MrcMSE presented herein (MGMSE and MGrcMSE, respectively are first analyzed through the processing of synthetic signals. We reveal that MGrcMSE shows better performance than MGMSE for short multivariate data. We then study the performance of MGrcMSE on two sets of short multivariate electroencephalograms (EEG available in the public domain. We report that MGrcMSE may show better performance than MrcMSE in distinguishing different types of multivariate EEG data. MGrcMSE could therefore supplement MMSE or MrcMSE in the processing of multivariate datasets.

  14. Socioeconomic status and exposure to outdoor NO2 and benzene in the Asturias INMA birth cohort, Spain

    Science.gov (United States)

    Fernández-Somoano, Ana; Tardon, Adonina

    2014-01-01

    Background It is commonly assumed that low socioeconomic levels are associated with greater exposure to pollution, but this is not necessarily valid. Our goal was to examine how individual socioeconomic characteristics are associated with exposure levels in a Spanish region included in the INfancia y Medio Ambiente (INMA) cohort. Methods The study population comprised 430 pregnant women from the Asturias INMA cohort. Air pollution exposure was estimated using land-use regression techniques. Information about the participants’ lifestyle and socioeconomic variables was collected through questionnaires. In multivariate analysis, the levels of NO2 and benzene assigned to each woman were considered as dependent variables. Other variables included in the models were residential zone, age, education, parity, smoking, season, working status during pregnancy and social class. Results The average NO2 level was 23.60 (SD=6.50) μg/m3. For benzene, the mean value was 2.31 (SD=1.32) μg/m3. We found no association of any pollutant with education. We observed an association between social class and benzene levels. Social classes I and II had the highest levels. The analysed socioeconomic and lifestyle variables accounted for little variability in air pollution in the models; this variability was explained mainly by residential zone (adjusted R2: 0.27 for NO2; 0.09 for benzene). Conclusions Education and social class were not clearly associated with pollution. Administrations should monitor the environment of residential areas regardless of the socioeconomic level, and they should increase the distances between housing and polluting sources to prevent settlements at distances that are harmful to health. PMID:23999377

  15. Multivariate analysis of eigenvalues and eigenvectors in tensor based morphometry

    Science.gov (United States)

    Rajagopalan, Vidya; Schwartzman, Armin; Hua, Xue; Leow, Alex; Thompson, Paul; Lepore, Natasha

    2015-01-01

    We develop a new algorithm to compute voxel-wise shape differences in tensor-based morphometry (TBM). As in standard TBM, we non-linearly register brain T1-weighed MRI data from a patient and control group to a template, and compute the Jacobian of the deformation fields. In standard TBM, the determinants of the Jacobian matrix at each voxel are statistically compared between the two groups. More recently, a multivariate extension of the statistical analysis involving the deformation tensors derived from the Jacobian matrices has been shown to improve statistical detection power.7 However, multivariate methods comprising large numbers of variables are computationally intensive and may be subject to noise. In addition, the anatomical interpretation of results is sometimes difficult. Here instead, we analyze the eigenvalues and the eigenvectors of the Jacobian matrices. Our method is validated on brain MRI data from Alzheimer's patients and healthy elderly controls from the Alzheimer's Disease Neuro Imaging Database.

  16. Socioeconomic status can affect pregnancy outcomes and complications, even with a universal healthcare system.

    Science.gov (United States)

    Kim, Min Kyoung; Lee, Seung Mi; Bae, Sung-Hee; Kim, Hyun Joo; Lim, Nam Gu; Yoon, Seok-Jun; Lee, Jin Yong; Jo, Min-Woo

    2018-01-05

    Low socioeconomic status can increase the risk of adverse pregnancy outcomes, but it remains unclear whether this negative association is attributed to inadequate prenatal care. Korea has been adopting a universal healthcare system. All Korean citizens must be enrolled National Health Insurance (NHI) or be recipient of Medical Aid (MA). In addition, Korean government launched a financial support system for antenatal care for all pregnant women in 2008. Therefore, in theory, there is no financial barrier to receive prenatal cares regardless of someone's social class. However, it is still unclear whether adverse pregnancy outcomes observed in low-income women are attributable to low SES or to economic barriers specific to the utilization of medical services. The purpose of this study was to investigate whether socioeconomic status affects pregnancy outcomes after the introduction of this support system, which allows all pregnant women to receive adequate prenatal care regardless of socioeconomic status. Using the National Health Insurance database in Korea, we selected women who gave birth between January 1, 2010 and December 31, 2010. As a proxy indicator reflecting socioeconomic status, we classified subjects as MA recipient ("low" SES) or a NHI beneficiary ("middle/high" SES). In the MA group, 29.4% women received inadequate prenatal care, compared to 11.4% in the NHI group. Mothers in the MA group were more likely to have an abortion (30.1%), rather than deliver a baby, than those in the NHI group (20.7%, P < 0.001). Mothers in the MA group were also more likely to undergo a Caesarean delivery (45.8%; NHI group: 39.6%, P < 0.001), and have preeclampsia (1.5%; NHI group: 0.6%, P < 0.001), obstetric hemorrhage (4.7%; NHI group: 3.9%, P = 0.017), and a preterm delivery (2.1%; NHI group: 1.4%, P < 0.001) than those in the NHI group. Women in the MA group tended to show higher rates of abortion, Caesarean delivery, preeclampsia, preterm delivery

  17. Explaining socioeconomic inequalities in exclusive breast feeding in Norway.

    Science.gov (United States)

    Bærug, Anne; Laake, Petter; Løland, Beate Fossum; Tylleskär, Thorkild; Tufte, Elisabeth; Fretheim, Atle

    2017-08-01

    In high-income countries, lower socioeconomic position is associated with lower rates of breast feeding, but it is unclear what factors explain this inequality. Our objective was to examine the association between socioeconomic position and exclusive breast feeding, and to explore whether socioeconomic inequality in exclusive breast feeding could be explained by other sociodemographic characteristics, for example, maternal age and parity, smoking habits, birth characteristics, quality of counselling and breastfeeding difficulties. We used data from a questionnaire sent to mothers when their infants were five completed months as part of a trial of a breastfeeding intervention in Norway. We used maternal education as an indicator of socioeconomic position. Analyses of 1598 mother-infant pairs were conducted using logistic regression to assess explanatory factors of educational inequalities in breast feeding. Socioeconomic inequalities in exclusive breast feeding were present from the beginning and persisted for five completed months, when 22% of the most educated mothers exclusively breast fed compared with 7% of the least educated mothers: OR 3.39 (95% CI 1.74 to 6.61). After adjustment for all potentially explanatory factors, the OR was reduced to 1.49 (95% CI 0.70 to 3.14). This decrease in educational inequality seemed to be mainly driven by sociodemographic factors, smoking habits and breastfeeding difficulties, in particular perceived milk insufficiency. Socioeconomic inequalities in exclusive breast feeding at 5 months were largely explained by sociodemographic factors, but also by modifiable factors, such as smoking habits and breastfeeding difficulties, which can be amenable to public health interventions. NCT01025362. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  18. Indicators for Assessing the Socio-Economic Responsibility of Entrepreneurship in Ukraine

    Directory of Open Access Journals (Sweden)

    Dielini Maryna M.

    2017-12-01

    Full Text Available The aim of the article is to determine the main indicators that can be used for assessing the socio-economic responsibility of Ukrainian enterprises, and group these indicators by categories of stakeholders. There presented main recipients towards which the socio-economic responsibility of entrepreneurship is directed, namely, enterprise employees; owners (shareholders; consumers of products; suppliers and competitors; society and state. Forms and instruments for realizing the socio-economic responsibility of enterprises (SERE are presented, and on this basis a system of indicators is developed that can be used in the assessment of the SERE. The indicators have both quantitative and qualitative representation and also provide an opportunity to cover the full scale of the manifestation of the SERE regarding the interest groups. Much attention is paid to the ensuring of profitability of an enterprise (as the main objective of corporate social responsibility, according to A. Carroll, as well as deductions for the development of personnel, both professional and recreational, and for the development of society, welfare of the population in the form of spending on social investment, socially responsible marketing, monetary grants for research, charitable activities, and other tools of the SEPE manifestation.

  19. Revision of the Malagasy Camponotus edmondi species group (Hymenoptera, Formicidae, Formicinae): integrating qualitative morphology and multivariate morphometric analysis.

    Science.gov (United States)

    Rakotonirina, Jean Claude; Csősz, Sándor; Fisher, Brian L

    2016-01-01

    The Malagasy Camponotus edmondi species group is revised based on both qualitative morphological traits and multivariate analysis of continuous morphometric data. To minimize the effect of the scaling properties of diverse traits due to worker caste polymorphism, and to achieve the desired near-linearity of data, morphometric analyses were done only on minor workers. The majority of traits exhibit broken scaling on head size, dividing Camponotus workers into two discrete subcastes, minors and majors. This broken scaling prevents the application of algorithms that uses linear combination of data to the entire dataset, hence only minor workers were analyzed statistically. The elimination of major workers resulted in linearity and the data meet required assumptions. However, morphometric ratios for the subsets of minor and major workers were used in species descriptions and redefinitions. Prior species hypotheses and the goodness of clusters were tested on raw data by confirmatory linear discriminant analysis. Due to the small sample size available for some species, a factor known to reduce statistical reliability, hypotheses generated by exploratory analyses were tested with extreme care and species delimitations were inferred via the combined evidence of both qualitative (morphology and biology) and quantitative data. Altogether, fifteen species are recognized, of which 11 are new to science: Camponotus alamaina sp. n. , Camponotus androy sp. n. , Camponotus bevohitra sp. n. , Camponotus galoko sp. n. , Camponotus matsilo sp. n. , Camponotus mifaka sp. n. , Camponotus orombe sp. n. , Camponotus tafo sp. n. , Camponotus tratra sp. n. , Camponotus varatra sp. n. , and Camponotus zavo sp. n. Four species are redescribed: Camponotus echinoploides Forel, Camponotus edmondi André, Camponotus ethicus Forel, and Camponotus robustus Roger. Camponotus edmondi ernesti Forel, syn. n. is synonymized under Camponotus edmondi . This revision also includes an identification key to

  20. Socioeconomic disparities in secondhand smoke exposure among US never-smoking adults: the National Health and Nutrition Examination Survey 1988-2010.

    Science.gov (United States)

    Gan, Wen Qi; Mannino, David M; Jemal, Ahmedin

    2015-11-01

    Secondhand smoke (SHS) is a leading preventable cause of illness, disability and mortality. There is a lack of quantitative analyses on socioeconomic disparities in SHS; especially, it is not known how socioeconomic disparities have changed in the past two decades in the USA. To examine socioeconomic disparities and long-term temporal trends in SHS exposure among US never-smoking adults aged ≥20 years. 15 376 participants from the National Health and Nutrition Examination Survey (NHANES) 1999-2010 were included in the analysis of socioeconomic disparities; additional 8195 participants from NHANES III 1988-1994 were included in the temporal trend analysis. SHS exposure was assessed using self-reported exposure in the home and workplace as well as using serum cotinine concentrations ≥0.05 ng/mL. Individual socioeconomic status (SES) was assessed using poverty-to-income ratio. During the period 1999-2010, 6% and 14% of participants reported SHS exposure in the home and workplace, respectively; 40% had serum cotinine-indicated SHS exposure. Individual SES was strongly associated with SHS exposure in a dose-response fashion; participants in the lowest SES group were 2-3 times more likely to be exposed to SHS compared with those in the highest SES group. During the period 1988-2010, the prevalence declined over 60% for the three types of SHS exposure. However, for cotinine-indicated exposure, the magnitudes of the declines were smaller for lower SES groups compared with higher SES groups, leading to widening socioeconomic disparities in SHS exposure. SHS exposure is still widespread among US never-smoking adults, and socioeconomic disparities for cotinine-indicated exposure have substantially increased in the past two decades. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  1. Objectively assessed recess physical activity in girls and boys from high and low socioeconomic backgrounds.

    Science.gov (United States)

    Baquet, Georges; Ridgers, Nicola D; Blaes, Aurélie; Aucouturier, Julien; Van Praagh, Emmanuel; Berthoin, Serge

    2014-02-21

    The school environment influences children's opportunities for physical activity participation. The aim of the present study was to assess objectively measured school recess physical activity in children from high and low socioeconomic backgrounds. Four hundred and seven children (6-11 years old) from 4 primary schools located in high socioeconomic status (high-SES) and low socioeconomic status (low-SES) areas participated in the study. Children's physical activity was measured using accelerometry during morning and afternoon recess during a 4-day school week. The percentage of time spent in light, moderate, vigorous, very high and in moderate- to very high-intensity physical activity were calculated using age-dependent cut-points. Sedentary time was defined as 100 counts per minute. Boys were significantly (p active than girls. No difference in sedentary time between socioeconomic backgrounds was observed. The low-SES group spent significantly more time in light (p physical activity compared to the high-SES group. High-SES boys and girls spent significantly more time in moderate (p physical activity than low-SES boys. Differences were observed in recess physical activity levels according to socioeconomic background and sex. These results indicate that recess interventions should target children in low-SES schools.

  2. Culture of socio-economic security of Ukraine: Challenges in XXIst Century

    Directory of Open Access Journals (Sweden)

    Olesya Ihorivna Datsko

    2015-12-01

    Full Text Available It is argued, that the culture of social- economic security has impact on the socio-economic development of state. It is formed at several levels of human interaction: with oneself, other people, work, environment, community groups, state, world, God. It is proved that low level of culture of socio-economic security of Ukraine's population, especially state leaders has a destructive effect on the economic development, labour potential, and increasing level of corruption. The necessity to develop a culture of social- economic security in the state economic policy is proved.

  3. Multivariate pattern dependence.

    Directory of Open Access Journals (Sweden)

    Stefano Anzellotti

    2017-11-01

    Full Text Available When we perform a cognitive task, multiple brain regions are engaged. Understanding how these regions interact is a fundamental step to uncover the neural bases of behavior. Most research on the interactions between brain regions has focused on the univariate responses in the regions. However, fine grained patterns of response encode important information, as shown by multivariate pattern analysis. In the present article, we introduce and apply multivariate pattern dependence (MVPD: a technique to study the statistical dependence between brain regions in humans in terms of the multivariate relations between their patterns of responses. MVPD characterizes the responses in each brain region as trajectories in region-specific multidimensional spaces, and models the multivariate relationship between these trajectories. We applied MVPD to the posterior superior temporal sulcus (pSTS and to the fusiform face area (FFA, using a searchlight approach to reveal interactions between these seed regions and the rest of the brain. Across two different experiments, MVPD identified significant statistical dependence not detected by standard functional connectivity. Additionally, MVPD outperformed univariate connectivity in its ability to explain independent variance in the responses of individual voxels. In the end, MVPD uncovered different connectivity profiles associated with different representational subspaces of FFA: the first principal component of FFA shows differential connectivity with occipital and parietal regions implicated in the processing of low-level properties of faces, while the second and third components show differential connectivity with anterior temporal regions implicated in the processing of invariant representations of face identity.

  4. Ethnic and socioeconomic trends in breast cancer incidence in New Zealand

    Directory of Open Access Journals (Sweden)

    Atkinson June

    2010-12-01

    Full Text Available Abstract Background Breast cancer incidence varies between social groups, but differences have not been thoroughly examined in New Zealand. The objectives of this study are to determine whether trends in breast cancer incidence varied by ethnicity and socioeconomic position between 1981 and 2004 in New Zealand, and to assess possible risk factor explanations. Methods Five cohorts of the entire New Zealand population for 1981-86, 1986-1991, 1991-1996, 1996-2001, and 2001-2004 were created, and probabilistically linked to cancer registry records, allowing direct determination of ethnic and socioeconomic trends in breast cancer incidence. Results Breast cancer rates increased across all ethnic and socioeconomic groups between 1981 and 2004. Māori women consistently had the highest age standardised rates, and the difference between Māori and European/Other women increased from 7% in 1981-6 to 24% in 2001-4. Pacific and Asian women had consistently lower rates of breast cancer than European/Other women over the time period studied (12% and 28% lower respectively when pooled over time, although young Pacific women had slightly higher incidence rates than young European/other women. A gradient between high and low income women was evident, with high income women having breast cancer rates approximately 10% higher and this difference did not change significantly over time. Conclusions Differences in breast cancer incidence between European and Pacific women and between socioeconomic groups are explicable in terms of known risk factors. However no straightforward explanation for the relatively high incidence amongst Māori is apparent. Further research to explore high Māori breast cancer rates may contribute to reducing the burden of breast cancer amongst Māori women, as well as improving our understanding of the aetiology of breast cancer.

  5. Relationship between neighborhood socioeconomic status and venous thromboembolism: results from a population-based study.

    Science.gov (United States)

    Kort, D; van Rein, N; van der Meer, F J M; Vermaas, H W; Wiersma, N; Cannegieter, S C; Lijfering, W M

    2017-12-01

    Essentials Literature on socioeconomic status (SES) and incidence of venous thromboembolism (VTE) is scarce. We assessed neighborhood SES with VTE risk in a population of over 1.4 million inhabitants. Higher neighborhood SES was associated with lower incidence of VTE. These findings are helpful to inform policy and resource allocation in health systems. Background The association between socioeconomic status and arterial cardiovascular disease is well established. However, despite its high burden of disability-adjusted life years, little research has been carried out to determine whether socioeconomic status is associated with venous thromboembolism. Objective To determine if neighborhood socioeconomic status is associated with venous thromboembolism in a population-based study from the Netherlands. Methods We identified all patients aged 15 years and older with a first event of venous thromboembolism from inhabitants who lived in the urban districts of The Hague, Leiden and Utrecht in the Netherlands in 2008-2012. Neighborhood socioeconomic status was based on the status score, which combines educational level, income and unemployment on a four-digit postal code level. Incidence rate ratios of venous thromboembolism were calculated for different levels of neighborhood socioeconomic status, with adjustments for age and sex. Results A total of 7373 patients with a first venous thromboembolism (median age 61 years; 50% deep vein thrombosis) were identified among more than 1.4 million inhabitants. Higher neighborhood SES was associated with lower incidence of VTE. In the two highest status score groups (i.e. the 95-99th and > 99th percentile), the adjusted incidence rate ratios were 0.91 (95% confidence interval [CI], 0.84-1.00) and 0.80 (95% CI, 0.69-0.93), respectively, compared with the reference status score group (i.e. 30-70th percentile). Conclusions High neighborhood socioeconomic status is associated with a lower risk of first venous thromboembolism. © 2017

  6. Socioeconomic differences in injury risks in childhood and adolescence: a nation-wide study of intentional and unintentional injuries in Sweden

    DEFF Research Database (Denmark)

    Engström, K; Diderichsen, F; Laflamme, L

    2002-01-01

    , interpersonal violence, and self inflicted injuries. RESULTS: Injury incidences were relatively low and socioeconomic differences negligible in the 0-4 year olds. Thereafter, significant socioeconomic differences were observed in all diagnostic groups except falls. The highest absolute differences were...... in traffic injuries, especially among 15-19 year olds, and in self inflicted injuries among 15-19 year old girls. Relative differences were highest in both categories of intentional injuries for the age group 10-14. Social circumstances in the household other than family socioeconomic status affected...

  7. Socio-economic status and incident diabetes mellitus among employees in Denmark

    DEFF Research Database (Denmark)

    Cleal, B.; Hannerz, Harald; Poulsen, K.

    2014-01-01

    Aims: To contribute to the research on diabetes and social inequality by presenting national data on incident diabetes mellitus, stratified according to socio-economic status. Methods: National registers were combined, linking socio-economic status with incident diabetes over a 10-year period (2001...... had been as low as those in the reference group. Monte Carlo simulation was used to calculate 95% CIs for excess fraction estimates Results: A total of 1 005 572 men and 951 039 women were included in the analysis. The follow-up yielded 43 439 cases in 9 533 199 person-years at risk among men and 29...... 266 cases in 9 163 405 person-years at risk among women. Using 'professionals' as a reference group, higher levels of relative risk were observed among every other socio-occupational group. The excess fraction was, 0.342 (95% CI 0.329-0.354) among men and 0.359 (95% CI 0.349-0.369) among women...

  8. Examining the Association Between School Vending Machines and Children's Body Mass Index by Socioeconomic Status.

    Science.gov (United States)

    O'Hara, Jeffrey K; Haynes-Maslow, Lindsey

    2015-01-01

    To examine the association between vending machine availability in schools and body mass index (BMI) among subgroups of children based on gender, race/ethnicity, and socioeconomic status classifications. First-difference multivariate regressions were estimated using longitudinal fifth- and eighth-grade data from the Early Childhood Longitudinal Study. The specifications were disaggregated by gender, race/ethnicity, and family socioeconomic status classifications. Vending machine availability had a positive association (P < .10) with BMI among Hispanic male children and low-income Hispanic children. Living in an urban location (P < .05) and hours watching television (P < .05) were also positively associated with BMI for these subgroups. Supplemental Nutrition Assistance Program enrollment was negatively associated with BMI for low-income Hispanic students (P < .05). These findings were not statistically significant when using Bonferroni adjusted critical values. The results suggest that the school food environment could reinforce health disparities that exist for Hispanic male children and low-income Hispanic children. Copyright © 2015 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

  9. Multivariate Max-Stable Spatial Processes

    KAUST Repository

    Genton, Marc G.

    2014-01-06

    Analysis of spatial extremes is currently based on univariate processes. Max-stable processes allow the spatial dependence of extremes to be modelled and explicitly quantified, they are therefore widely adopted in applications. For a better understanding of extreme events of real processes, such as environmental phenomena, it may be useful to study several spatial variables simultaneously. To this end, we extend some theoretical results and applications of max-stable processes to the multivariate setting to analyze extreme events of several variables observed across space. In particular, we study the maxima of independent replicates of multivariate processes, both in the Gaussian and Student-t cases. Then, we define a Poisson process construction in the multivariate setting and introduce multivariate versions of the Smith Gaussian extremevalue, the Schlather extremal-Gaussian and extremal-t, and the BrownResnick models. Inferential aspects of those models based on composite likelihoods are developed. We present results of various Monte Carlo simulations and of an application to a dataset of summer daily temperature maxima and minima in Oklahoma, U.S.A., highlighting the utility of working with multivariate models in contrast to the univariate case. Based on joint work with Simone Padoan and Huiyan Sang.

  10. Multivariate Max-Stable Spatial Processes

    KAUST Repository

    Genton, Marc G.

    2014-01-01

    Analysis of spatial extremes is currently based on univariate processes. Max-stable processes allow the spatial dependence of extremes to be modelled and explicitly quantified, they are therefore widely adopted in applications. For a better understanding of extreme events of real processes, such as environmental phenomena, it may be useful to study several spatial variables simultaneously. To this end, we extend some theoretical results and applications of max-stable processes to the multivariate setting to analyze extreme events of several variables observed across space. In particular, we study the maxima of independent replicates of multivariate processes, both in the Gaussian and Student-t cases. Then, we define a Poisson process construction in the multivariate setting and introduce multivariate versions of the Smith Gaussian extremevalue, the Schlather extremal-Gaussian and extremal-t, and the BrownResnick models. Inferential aspects of those models based on composite likelihoods are developed. We present results of various Monte Carlo simulations and of an application to a dataset of summer daily temperature maxima and minima in Oklahoma, U.S.A., highlighting the utility of working with multivariate models in contrast to the univariate case. Based on joint work with Simone Padoan and Huiyan Sang.

  11. [Socioeconomic status and risky health behaviors in Croatian adult population].

    Science.gov (United States)

    Pilić, Leta; Dzakula, Aleksandar

    2013-03-01

    Based on the previous research, there is strong association between low socioeconomic status (SES) and high morbidity and mortality rates. Even though association between SES and risky health behaviors as the main factors influencing health has been investigated in Croatian population, some questions are yet to be answered. The aim of this study was to investigate the presence of unhealthy diet, physical inactivity, smoking and excessive drinking in low, middle, and high socioeconomic group of adult Croatian population included in the cohort study on regionalism of cardiovascular health risk behaviors. We also investigated the association between SES measured by income, education and occupation, as well as single SES indicators, and risky health behaviors. We analyzed data on 1227 adult men and women (aged 19 and older at baseline) with complete data on health behaviors, SES and chronic diseases at baseline (2003) and 5-year follow up. Respondents were classified as being healthy or chronically ill. SES categories were derived from answers to questions on monthly household income, occupation and education by using two-step cluster analysis algorithm. At baseline, for the whole sample as well as for healthy respondents, SES was statistically significantly associated with unhealthy diet (whole sample/healthy respondents: p = 0.001), physical inactivity (whole sample/healthy respondents p = 0.44/ p = 0.007), and smoking (whole sample/healthy respondents p < 0.001/p = 0.002). The proportion of respondents with unhealthy diet was greatest in the lowest social class, smokers in the middle and physically inactive in the high social class. During the follow up, smoking and physical inactivity remained statistically significantly associated with SES. In chronically ill respondents, only smoking was statistically significantly associated with SES, at baseline and follow up (p = 0.001/p = 0.002). The highest share of smokers was in the middle social class. Results of our

  12. Socioeconomic status is an independent predictor of biochemical recurrence among patients with prostate cancer who undergo radical prostatectomy

    Directory of Open Access Journals (Sweden)

    Victor Srougi

    2011-08-01

    Full Text Available PURPOSE: Socioeconomic status (SES may influence cancer characteristics and behavior in several aspects. We analyzed PCa characteristics and behavior among low income uninsured men, and compare them to high income patients with health insurance in a developing country. MATERIALS AND METHODS: A retrospective case-control study was performed on 934 patients with clinically localized PCa who underwent radical prostatectomy between March, 1999 and July, 2009. Patients were divided in two groups, according to their SES. In group 1 (n=380, all had low income, low educational levels and couldn't afford medical insurance. In group 2 (n=554, all had higher income, higher education and had medical insurance. RESULTS: Patients from group 1 were older, had higher Gleason scores, higher rates of seminal vesicle and bladder neck involvement. The Kaplan Meier disease-free survival curve demonstrated that after a follow-up of four years, about 50% of uninsured patients had biochemical recurrence, versus 21% of insured patients (Log rank test: p < 0.001. A multivariate Cox regression analysis for the risk of disease recurrence demonstrated that only PSA levels, Gleason score, seminal vesicle involvement and SES were statistically significant variables. Patients with a low SES presented 1.8 times the risk of recurrence as compared to patients with a high SES. CONCLUSIONS: Patients with low SES were older, presented more aggressive PCa characteristics and a high rate of disease recurrence. A low SES constituted an independent predictor for disease recurrence.

  13. Academic Interventions for Elementary and Middle School Students with Low Socioeconomic Status

    DEFF Research Database (Denmark)

    Dietrichson, Jens; Bøg, Martin; Filges, Trine

    2017-01-01

    Socioeconomic status is a major predictor of educational achievement. This systematic review and meta-analysis seeks to identify effective academic interventions for elementary and middle school students with low socioeconomic status. Included studies have used a treatment-control group design......, were performed in OECD and EU countries, and measured achievement by standardized tests in mathematics or reading. The analysis included 101 studies performed during 2000-2014, 76 percent of which were randomized controlled trials. The effect sizes (ES) of many interventions indicate...

  14. A primer of multivariate statistics

    CERN Document Server

    Harris, Richard J

    2014-01-01

    Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why

  15. Multivariate data analysis of two-dimensional gel electrophoresis protein patterns from few samples

    DEFF Research Database (Denmark)

    Jensen, Kristina Nedenskov; Jessen, Flemming; Jørgensen, Bo

    2008-01-01

    One application of 2D gel electrophoresis is to reveal differences in protein pattern between two or more groups of individuals, attributable to their group membership. Multivariate data analytical methods are useful in pinpointing the spots relevant for discrimination by focusing not only...... on single spot differences, but on the covariance structure between proteins. However, their outcome is dependent on data scaling, and they may fail in producing valid multivariate models due to the much higher number of "irrelevant" spots present in the gels. The case where only few gels are available...... and where the aim is to find as many as possible of the group-dependent proteins seems particularly difficult to handle. The present paper investigates such a case regarding the effect of scaling and of prefiltering by univariate nonparametric statistics on the selection of spots. Besides, a modified...

  16. Assessing Verbal Functioning in South African School Beginners from Diverse Socioeconomic Backgrounds: A Comparison between Verbal Working Memory and Vocabulary Measures

    Science.gov (United States)

    Cockcroft, Kate; Bloch, Lauren; Moolla, Azra

    2016-01-01

    This study investigated whether measures of verbal working memory are less sensitive to children's socioeconomic background than traditional vocabulary measures. Participants were 120 school beginners, divided into high and low socioeconomic groups. The groups contained equal numbers of English first-language and second-language speakers. All were…

  17. Socioeconomic gradients in general and oral health of primary school children in Shiraz, Iran.

    Science.gov (United States)

    Golkari, Ali; Sabokseir, Aira; Sheiham, Aubrey; Watt, Richard G

    2016-01-01

    Health status is largely determined by socio-economic status. The general health of individuals at higher social hierarchy is better than people in lower levels. Likewise, people with higher socio-economic status have better oral health than lower socio-economic groups. There has not been much work regarding the influence of socio-economic status on the health conditions of children in developing countries, particularly in Iran. The aim of this study was to compare the oral and general health conditions of primary school children of three different socio-economic areas in the city of Shiraz, Iran. This cross-sectional study was conducted on 335, 8- to 11-year-old primary schoolchildren in Shiraz. The children were selected by a three-stage cluster sampling method from three socio-economically different areas. Tools and methods used by the United Kingdom's Medical Research Council were used to obtain anthropometric variables as indicators of general health. The Decay, Missing, Filled Teeth (DMFT) Index for permanent teeth, dmft Index for primary teeth, the Modified Developmental Defects of Enamel (DDE) Index, the Gingival Index (GI) and the Debris Index-Simplified (DI-S) were used for oral health assessment.  Height (Poral health status of the primary schoolchildren of Shiraz. The influence of socio-economic status on health condition means children have different life chances based on their socio-economic conditions. These findings emphasize the significance of interventions for tackling socio-economic inequalities in order to improve the health status of children in lower socio-economic areas.

  18. WOMEN'S EDUCATION AND UTILIZATION OF MATERNAL HEALTH SERVICES IN AFRICA: A MULTI-COUNTRY AND SOCIOECONOMIC STATUS ANALYSIS.

    Science.gov (United States)

    Tsala Dimbuene, Zacharie; Amo-Adjei, Joshua; Amugsi, Dickson; Mumah, Joyce; Izugbara, Chimaraoke O; Beguy, Donatien

    2017-11-06

    There is an abundant literature on the relationship between women's education and maternal and child outcomes, including antenatal and postnatal care, onset of antenatal care and skilled birth attendance. However, few studies have adopted the 'equity' lens, despite increasing evidence that inequities between rich and poor are increasing although maternal and child mortality is declining. This study examined the differential effects of women's education within different socioeconomic strata in Africa. The most recent Demographic and Health Surveys (DHS) conducted in the Democratic Republic of the Congo, Egypt, Ghana, Nigeria and Zimbabwe were used. In each country, the original sample was stratified into three socioeconomic groups: poor, middle and rich. For each maternal health service utilization variable, the gross and net effects of women's education, controlling for age, parity, religion, marital status, health insurance, access to health facilities, partner's education and current place of residence, were estimated using logistic regression, taking into account the complex sampling design of the DHS. The findings revealed country-specific variations in maternal health service utilization, and for most indicators there was a clear gradient among socioeconomic strata: women living in better-off households exhibited greater access to, and utilization of, maternal health services. Multivariate analyses revealed that women's education had a positive association with type of antenatal care provider, timing and frequency of antenatal care visits, place of delivery and presence of a skilled birth attendant at delivery. Many other factors were found to be significantly associated with maternal health service utilization. For instance, parity had a negative and significant association with timing of first antenatal care visit. Likewise, partner's education was positively and statistically associated with timing of first antenatal care visit. It is argued that an over

  19. Resemblance profiles as clustering decision criteria: Estimating statistical power, error, and correspondence for a hypothesis test for multivariate structure.

    Science.gov (United States)

    Kilborn, Joshua P; Jones, David L; Peebles, Ernst B; Naar, David F

    2017-04-01

    Clustering data continues to be a highly active area of data analysis, and resemblance profiles are being incorporated into ecological methodologies as a hypothesis testing-based approach to clustering multivariate data. However, these new clustering techniques have not been rigorously tested to determine the performance variability based on the algorithm's assumptions or any underlying data structures. Here, we use simulation studies to estimate the statistical error rates for the hypothesis test for multivariate structure based on dissimilarity profiles (DISPROF). We concurrently tested a widely used algorithm that employs the unweighted pair group method with arithmetic mean (UPGMA) to estimate the proficiency of clustering with DISPROF as a decision criterion. We simulated unstructured multivariate data from different probability distributions with increasing numbers of objects and descriptors, and grouped data with increasing overlap, overdispersion for ecological data, and correlation among descriptors within groups. Using simulated data, we measured the resolution and correspondence of clustering solutions achieved by DISPROF with UPGMA against the reference grouping partitions used to simulate the structured test datasets. Our results highlight the dynamic interactions between dataset dimensionality, group overlap, and the properties of the descriptors within a group (i.e., overdispersion or correlation structure) that are relevant to resemblance profiles as a clustering criterion for multivariate data. These methods are particularly useful for multivariate ecological datasets that benefit from distance-based statistical analyses. We propose guidelines for using DISPROF as a clustering decision tool that will help future users avoid potential pitfalls during the application of methods and the interpretation of results.

  20. Supermarket and fast-food outlet exposure in Copenhagen: associations with socio-economic and demographic characteristics.

    Science.gov (United States)

    Svastisalee, Chalida M; Nordahl, Helene; Glümer, Charlotte; Holstein, Bjørn E; Powell, Lisa M; Due, Pernille

    2011-09-01

    To investigate whether exposure to fast-food outlets and supermarkets is socio-economically patterned in the city of Copenhagen. The study was based on a cross-sectional multivariate approach to examine the association between the number of fast-food outlets and supermarkets and neighbourhood-level socio-economic indicators. Food business addresses were obtained from commercial and public business locators and geocoded using a geographic information system for all neighbourhoods in the city of Copenhagen (n 400). The regression of counts of fast-food outlets and supermarkets v. indicators of socio-economic status (percentage of recent immigrants, percentage without a high-school diploma, percentage of the population under 35 years of age and average household income in Euros) was performed using negative binomial analysis. Copenhagen, Denmark. The unit of analysis was neighbourhood (n 400). In the fully adjusted models, income was not a significant predictor for supermarket exposure. However, neighbourhoods with low and mid-low income were associated with significantly fewer fast-food outlets. Using backwise deletion from the fully adjusted models, low income remained significantly associated with fast-food outlet exposure (rate ratio = 0·66-0·80) in the final model. In the city of Copenhagen, there was no evidence of spatial patterning of supermarkets by income. However, we detected a trend in the exposure to fast-food outlets, such that neighbourhoods in the lowest income quartile had fewer fast-food outlets than higher-income neighbourhoods. These findings have similarities with studies conducted in the UK, but not in the USA. The results suggest there may be socio-economic factors other than income associated with food exposure in Europe.

  1. Application of Multivariable Statistical Techniques in Plant-wide WWTP Control Strategies Analysis

    DEFF Research Database (Denmark)

    Flores Alsina, Xavier; Comas, J.; Rodríguez-Roda, I.

    2007-01-01

    The main objective of this paper is to present the application of selected multivariable statistical techniques in plant-wide wastewater treatment plant (WWTP) control strategies analysis. In this study, cluster analysis (CA), principal component analysis/factor analysis (PCA/FA) and discriminant...... analysis (DA) are applied to the evaluation matrix data set obtained by simulation of several control strategies applied to the plant-wide IWA Benchmark Simulation Model No 2 (BSM2). These techniques allow i) to determine natural groups or clusters of control strategies with a similar behaviour, ii......) to find and interpret hidden, complex and casual relation features in the data set and iii) to identify important discriminant variables within the groups found by the cluster analysis. This study illustrates the usefulness of multivariable statistical techniques for both analysis and interpretation...

  2. Multivariate stochastic simulation with subjective multivariate normal distributions

    Science.gov (United States)

    P. J. Ince; J. Buongiorno

    1991-01-01

    In many applications of Monte Carlo simulation in forestry or forest products, it may be known that some variables are correlated. However, for simplicity, in most simulations it has been assumed that random variables are independently distributed. This report describes an alternative Monte Carlo simulation technique for subjectively assesed multivariate normal...

  3. Socioeconomic Factors and Work Disability: Clues to Managing Chronic Pain Disorder

    Directory of Open Access Journals (Sweden)

    Robert W Teasell

    1999-01-01

    Full Text Available Disability is a multifactorial phenomena in chronic pain disorders, as it is for other painful and nonpainful medical conditions. Socioeconomic factors are important determinants of disability, although this aspect of disability in chronic pain disorders is often ignored. Lower socioeconomic status has been shown to be associated with an increase in the frequency and severity of disability, and the rate of progression to disability in patients with chronic pain. Work disability in lower socioeconomic groups is associated with issues of physical work demands and work flexibility (ie, the ability to control the pace of work, take unscheduled breaks or engage in modified work. Workplace interventions, particularly in the subacute phase, that are geared to workers' limitations offer the best opportunity to reduce the current burden of disability. Where such work modifications are not available, disability will be problematic.

  4. Model Checking Multivariate State Rewards

    DEFF Research Database (Denmark)

    Nielsen, Bo Friis; Nielson, Flemming; Nielson, Hanne Riis

    2010-01-01

    We consider continuous stochastic logics with state rewards that are interpreted over continuous time Markov chains. We show how results from multivariate phase type distributions can be used to obtain higher-order moments for multivariate state rewards (including covariance). We also generalise...

  5. Impact of socioeconomic status and ethnic enclave on cervical cancer incidence among Hispanics and Asians in California.

    Science.gov (United States)

    Froment, Marie-Anne; Gomez, Scarlett L; Roux, Audrey; DeRouen, Mindy C; Kidd, Elizabeth A

    2014-06-01

    This study aimed to evaluate the incidence of cervical cancer by nativity [United States (US) versus non-US], neighborhood socioeconomic status and ethnic enclave among Hispanics and Asians in California. Using data from the California Cancer Registry, information on all primary invasive cervical cancer (Cca) patients diagnosed in California from January 1, 1990 through December 31, 2004 was obtained. We analyzed the influence of enclave, socioeconomic status and nativity on Cca incidence. Among the 22,189 Cca cases diagnosed between 1990 and 2004, 50% were non-Hispanic white, 39% Hispanic and 11% Asian women, and 63% US-born. Seventy percent of the Cca cases were squamous cell carcinoma, 19% adenocarcinoma and 11% other histologies. Higher incidence of Cca was observed in high enclave (76%) and low socioeconomic status (70%) neighborhoods. By ethnic group, US-born women showed lower rates of squamous cell carcinoma compared to foreign-born women. Hispanics living in low socioeconomic and high enclave had 12.7 times higher rate of Cca than those living in high socioeconomic, low enclave neighborhoods. For Asian women incidence rates were 6 times higher in the low socioeconomic, high enclave neighborhoods compared to those living in high socioeconomic, low enclave neighborhoods. More targeted outreach to increase Pap smear screening and human papilloma virus vaccination for women living in high enclave neighborhoods can help decrease the incidence of Cca in these groups of women. Copyright © 2014 Elsevier Inc. All rights reserved.

  6. Socioeconomic Factors Influencing Hospitalized Patients with Pneumonia Due to Influenza A(H1N1)pdm09 in Mexico

    Science.gov (United States)

    Manabe, Toshie; Higuera Iglesias, Anjarath Lorena; Vazquez Manriquez, Maria Eugenia; Martinez Valadez, Eduarda Leticia; Ramos, Leticia Alfaro; Izumi, Shinyu; Takasaki, Jin; Kudo, Koichiro

    2012-01-01

    Background In addition to clinical aspects and pathogen characteristics, people's health-related behavior and socioeconomic conditions can affect the occurrence and severity of diseases including influenza A(H1N1)pdm09. Methodology and Principal Findings A face-to-face interview survey was conducted in a hospital in Mexico City at the time of follow-up consultation for hospitalized patients with pneumonia due to influenza virus infection. In all, 302 subjects were enrolled and divided into two groups based on the period of hospitalization. Among them, 211 tested positive for influenza A(H1N1)pdm09 virus by real-time reverse-transcriptase-polymerase-chain-reaction during the pandemic period (Group-pdm) and 91 tested positive for influenza A virus in the post-pandemic period (Group-post). All subjects were treated with oseltamivir. Data on the demographic characteristics, socioeconomic status, living environment, and information relating to A(H1N1)pdm09, and related clinical data were compared between subjects in Group-pdm and those in Group-post. The ability of household income to pay for utilities, food, and health care services as well as housing quality in terms of construction materials and number of rooms revealed a significant difference: Group-post had lower socioeconomic status than Group-pdm. Group-post had lower availability of information regarding H1N1 influenza than Group-pdm. These results indicate that subjects in Group-post had difficulty receiving necessary information relating to influenza and were more likely to be impoverished than those in Group-pdm. Possible factors influencing time to seeking health care were number of household rooms, having received information on the necessity of quick access to health care, and house construction materials. Conclusions Health-care-seeking behavior, poverty level, and the distribution of information affect the occurrence and severity of pneumonia due to H1N1 virus from a socioeconomic point of view. These

  7. Neighbourhood socioeconomic inequalities in incidence of acute myocardial infarction: a cohort study quantifying age- and gender-specific differences in relative and absolute terms

    Directory of Open Access Journals (Sweden)

    Koopman Carla

    2012-08-01

    Full Text Available Abstract Background Socioeconomic status has a profound effect on the risk of having a first acute myocardial infarction (AMI. Information on socioeconomic inequalities in AMI incidence across age- gender-groups is lacking. Our objective was to examine socioeconomic inequalities in the incidence of AMI considering both relative and absolute measures of risk differences, with a particular focus on age and gender. Methods We identified all patients with a first AMI from 1997 to 2007 through linked hospital discharge and death records covering the Dutch population. Relative risks (RR of AMI incidence were estimated by mean equivalent household income at neighbourhood-level for strata of age and gender using Poisson regression models. Socioeconomic inequalities were also shown within the stratified age-gender groups by calculating the total number of events attributable to socioeconomic disadvantage. Results Between 1997 and 2007, 317,564 people had a first AMI. When comparing the most deprived socioeconomic quintile with the most affluent quintile, the overall RR for AMI was 1.34 (95 % confidence interval (CI: 1.32 – 1.36 in men and 1.44 (95 % CI: 1.42 – 1.47 in women. The socioeconomic gradient decreased with age. Relative socioeconomic inequalities were most apparent in men under 35 years and in women under 65 years. The largest number of events attributable to socioeconomic inequalities was found in men aged 45–74 years and in women aged 65–84 years. The total proportion of AMIs that was attributable to socioeconomic inequalities in the Dutch population of 1997 to 2007 was 14 % in men and 18 % in women. Conclusions Neighbourhood socioeconomic inequalities were observed in AMI incidence in the Netherlands, but the magnitude across age-gender groups depended on whether inequality was expressed in relative or absolute terms. Relative socioeconomic inequalities were high in young persons and women, where the absolute burden

  8. Associations between forest characteristics and socio-economic development: a case study from Portugal.

    Science.gov (United States)

    Ribeiro, Sónia Carvalho; Lovett, Andrew

    2009-07-01

    The integration of socio-economic and environmental objectives is a major challenge in developing strategies for sustainable landscapes. We investigated associations between socio-economic variables, landscape metrics and measures of forest condition in the context of Portugal. The main goals of the study were to 1) investigate relationships between forest conditions and measures of socio-economic development at national and regional scales, 2) test the hypothesis that a systematic variation in forest landscape metrics occurs according to the stage of socio-economic development and, 3) assess the extent to which landscape metrics can inform strategies to enhance forest sustainability. A ranking approach and statistical techniques such as Principal Component Analysis were used to achieve these objectives. Relationships between socio-economic characteristics, landscape metrics and measures of forest condition were only significant in the regional analysis of municipalities in Northern Portugal. Landscape metrics for different tree species displayed significant variations across socio-economic groups of municipalities and these differences were consistent with changes in characteristics suggested by the forest transition model. The use of metrics also helped inform place-specific strategies to improve forest management, though it was also apparent that further work was required to better incorporate differences in forest functions into sustainability planning.

  9. 48 CFR 225.503 - Group offers.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 3 2010-10-01 2010-10-01 false Group offers. 225.503... OF DEFENSE SOCIOECONOMIC PROGRAMS FOREIGN ACQUISITION Evaluating Foreign Offers-Supply Contracts 225.503 Group offers. Evaluate group offers in accordance with FAR 25.503, but apply the evaluation...

  10. Socioeconomic Status (SES) and Childhood Acute Myeloid Leukemia (AML) Mortality

    Science.gov (United States)

    Knoble, Naomi B.; Alderfer, Melissa A.; Hossain, Md Jobayer

    2016-01-01

    Socioeconomic status (SES) is a complex construct of multiple indicators, known to impact cancer outcomes, but has not been adequately examined among pediatric AML patients. This study aimed to identify the patterns of co-occurrence of multiple community-level SES indicators and to explore associations between various patterns of these indicators and pediatric AML mortality risk. A nationally representative US sample of 3,651 pediatric AML patients, aged 0–19 years at diagnosis was drawn from 17 Surveillance, Epidemiology, and End Results (SEER) database registries created between 1973 and 2012. Factor analysis, cluster analysis, stratified univariable and multivariable Cox proportional hazards models were used. Four SES factors accounting for 87% of the variance in SES indicators were identified: F1) economic/educational disadvantage, less immigration; F2) immigration-related features (foreign-born, language-isolation, crowding), less mobility F3) housing instability; and, F4) absence of moving. F1 and F3 showed elevated risk of mortality, adjusted hazards ratios (aHR) (95% CI): 1.07(1.02–1.12) and 1.05(1.00–1.10), respectively. Seven SES-defined cluster groups were identified. Cluster 1: (low economic/educational disadvantage, few immigration-related features, and residential-stability) showed the minimum risk of mortality. Compared to Cluster 1, Cluster 3: (high economic/educational disadvantage, high-mobility) and Cluster 6: (moderately-high economic/educational disadvantages, housing-instability and immigration-related features) exhibited substantially greater risk of mortality, aHR(95% CI) = 1.19(1.0–1.4) and 1.23 (1.1–1.5), respectively. Factors of correlated SES-indicators and their pattern-based groups demonstrated differential risks in the pediatric AML mortality indicating the need of special public-health attention in areas with economic-educational disadvantages, housing-instability and immigration-related features. PMID:27543948

  11. How does the social "get under the gums"? The role of socio-economic position in the oral-systemic health link.

    Science.gov (United States)

    Gomaa, Noha; Nicolau, Belinda; Siddiqi, Arjumand; Tenenbaum, Howard; Glogauer, Michael; Quiñonez, Carlos

    2017-09-14

    To evaluate the extent of association between systemic inflammation and periodontal disease in American adults, and to assess whether socio-economic position mediated this relationship. We used data from the National Health and Nutrition Examination Survey (NHANES IV) (2001-2010). Systemic inflammation was defined by individual and aggregate (cumulative inflammatory load) biomarkers (C-reactive protein, white blood cell counts, neutrophil counts, and neutrophil:lymphocyte ratio). Loss of attachment and bleeding on probing were used to define periodontal disease. Poverty:income ratio and education were indicators of socio-economic position. Covariates included age, sex, ethnicity, smoking, alcohol, and attendance for dental treatment. Univariate and multivariable logistic regressions were constructed to assess the relationships of interest. In a total of 2296 respondents, biomarkers of systemic inflammation and cumulative inflammatory load were significantly associated with periodontal disease after adjusting for age, sex, and behavioural factors. Socio-economic position attenuated the association between markers of systemic inflammation and periodontal disease in the fully adjusted model. Socio-economic position partly explains how systemic inflammation and periodontal disease are coupled, and may thus have a significant role in the mechanisms linking oral and non-oral health conditions. It is of critical importance that the social and living conditions are taken into account when considering prevention and treatment strategies for inflammatory diseases, given what appears to be their impactful effect on disease processes.

  12. Predicting harsh discipline in at-risk mothers: the moderating effect of socioeconomic deprivation severity

    OpenAIRE

    Pereira, Mariana Monteiro de Aguiar; Negrão, Mariana; Soares, Isabel; Mesman, Judi

    2015-01-01

    Socioeconomic disadvantage is an important predictor of maternal harsh discipline, but few studies have examined risk mechanisms for harsh parenting within disadvantaged samples. In the present study, parenting stress, family conflict, and child difficult temperament are examined as predictors of maternal harsh discipline among a group of 58 mothers from socioeconomically disadvantaged backgrounds and their young children between the ages of 1- to 4-years-old. Maternal harsh discipline was me...

  13. MIDAS: Regionally linear multivariate discriminative statistical mapping.

    Science.gov (United States)

    Varol, Erdem; Sotiras, Aristeidis; Davatzikos, Christos

    2018-07-01

    Statistical parametric maps formed via voxel-wise mass-univariate tests, such as the general linear model, are commonly used to test hypotheses about regionally specific effects in neuroimaging cross-sectional studies where each subject is represented by a single image. Despite being informative, these techniques remain limited as they ignore multivariate relationships in the data. Most importantly, the commonly employed local Gaussian smoothing, which is important for accounting for registration errors and making the data follow Gaussian distributions, is usually chosen in an ad hoc fashion. Thus, it is often suboptimal for the task of detecting group differences and correlations with non-imaging variables. Information mapping techniques, such as searchlight, which use pattern classifiers to exploit multivariate information and obtain more powerful statistical maps, have become increasingly popular in recent years. However, existing methods may lead to important interpretation errors in practice (i.e., misidentifying a cluster as informative, or failing to detect truly informative voxels), while often being computationally expensive. To address these issues, we introduce a novel efficient multivariate statistical framework for cross-sectional studies, termed MIDAS, seeking highly sensitive and specific voxel-wise brain maps, while leveraging the power of regional discriminant analysis. In MIDAS, locally linear discriminative learning is applied to estimate the pattern that best discriminates between two groups, or predicts a variable of interest. This pattern is equivalent to local filtering by an optimal kernel whose coefficients are the weights of the linear discriminant. By composing information from all neighborhoods that contain a given voxel, MIDAS produces a statistic that collectively reflects the contribution of the voxel to the regional classifiers as well as the discriminative power of the classifiers. Critically, MIDAS efficiently assesses the

  14. Accounting for the multidimensional nature of the relationship between adult obesity and socio-economic status: the French second National Individual Survey on Food Consumption (INCA 2) dietary survey (2006-07).

    Science.gov (United States)

    Fillol, F; Dubuisson, C; Lafay, L; Dufour, A; Bertin, M; Touvier, M; Maire, B; Volatier, J-L; Lioret, S

    2011-11-01

    The objective was to study the multidimensional nature of the relationship between adult obesity (OB) and socio-economic status (SES), using comprehensive indices of SES taken separately or synthesised in an overall index. A nationally representative sample of adults aged 18-79 years was taken from the French second National Individual Survey on Food Consumption (INCA 2) dietary survey (2006-07). Weight and height were measured and OB defined as BMI ≥ 30 kg/m2. SES variables were reported in questionnaires and included occupation, education and characteristics of household wealth. Composite indices of SES (household wealth and overall SES indices) were computed by correspondence analysis, and relationships with OB were investigated with logistic regression analysis. In total, 11·8 (95 % CI 10·1, 13·4) % of French adults were obese, without significant difference by sex. While no significant relationship was observed in men, all SES indicators were inversely correlated to OB in women. Both education and the household wealth index were retained in the stepwise multivariate model, confirming that different socio-economic variables are not necessarily proxies of each other regarding the OB issue. On the other hand, 'controlling for SES' while including several measures of SES in multivariate models may lead to collinearity, and thus over-adjustment. A more integrative approach may be to derive a synthetic index by including the SES factors available in a given study. Beyond this methodological perspective, understanding how OB is related to the different dimensions of SES should help to target the more vulnerable groups and increase the effectiveness of prevention.

  15. Demographic implications of socioeconomic transition among the tribal populations of Manipur, India.

    Science.gov (United States)

    Hemam, N S; Reddy, B M

    1998-06-01

    The demographic implications of socioeconomic transition are studied among the three subsistence categories of the Gangte, a little known tribe from northeast India. Reproductive histories of 444 ever-married women and other data on the 343 households from which these women were drawn were collected from 11 villages representing the 3 transitional groups. A trend of increasing household income and literacy of couples was observed from shifting cultivators to settled agriculturists to the town-dwelling Gangte. The effect of socioeconomic transition is also seen in the constriction at the base of the age-sex pyramid of the town dwellers compared with the other subsistence categories, suggesting a relatively lower proportion of children in the 0-5-year-old age group. Although exogamy is practiced among all the subsistence categories, a considerably higher percentage of admixture with non-Gangte is observed among the town dwellers compared with the others. Overall infant and child mortality among the Gangte is low. However, variation exists among the three subsistence groups in the sense that a considerable reduction is seen from the traditional shifting cultivators to the urbanized town dwellers, reflecting better socioeconomic conditions and greater awareness and accessibility of the town dwellers to public health amenities. No consistent or perceptible trend is evident in mean number of live births. The genetic implications of this demographic transition are reflected in Crow's indexes of selection.

  16. Are the Poor Dying Younger in Malaysia? An Examination of the Socioeconomic Gradient in Mortality.

    Science.gov (United States)

    Mariapun, Jeevitha; Hairi, Noran N; Ng, Chiu-Wan

    2016-01-01

    Socioeconomic inequalities in health represent unfairness in the health distribution of a population. Efforts to produce information on mortality distributions in many low and middle income countries (LMICs) are mostly hampered by lack of data disaggregated by socioeconomic groups. In this paper we describe how mortality statistics obtained from multiple data sources were combined to provide an evaluation of the socioeconomic distribution of mortality in Malaysia, a LMIC located in the Asia Pacific region. This study has an ecological design. As a measure of socioeconomic status, we used principal component analysis to construct a socioeconomic index using census data. Districts were ranked according to the standardised median index of households and assigned to each individual in the 5-year mortality data. The mortality indicators of interest were potential years of life lost (PYLL), standardised mortality ratio (SMR), infant mortality rate (IMR) and under-5 mortality rate (U5MR). Both socioeconomic status and mortality outcomes were used compute the concentration index which provided the summary measure of the magnitude of inequality. Socially disadvantaged districts were found to have worse mortality outcomes compared to more advantaged districts. The values of the concentration index for the overall population of the Peninsula are C = -0.1334 (95% CI: -0.1605 to -0.1063) for the PYLL, C = -0.0685 (95% CI: -0.0928 to -0.0441) for the SMR, C = -0.0997 (95% CI: -0.1343 to -0.0652) for the IMR and C = -0.1207 (95% CI: -0.1523 to -0.0891) for the U5MR. Mortality outcomes within ethnic groups were also found to be less favourable among the poor. The findings of this study suggest that socioeconomic inequalities disfavouring the poor exist in Malaysia.

  17. Malaria infection, poor nutrition and indoor air pollution mediate socioeconomic differences in adverse pregnancy outcomes in Cape Coast, Ghana.

    Directory of Open Access Journals (Sweden)

    Adeladza K Amegah

    Full Text Available BACKGROUND: The epidemiological evidence linking socioeconomic deprivation with adverse pregnancy outcomes has been conflicting mainly due to poor measurement of socioeconomic status (SES. Studies have also failed to evaluate the plausible pathways through which socioeconomic disadvantage impacts on pregnancy outcomes. We investigated the importance of maternal SES as determinant of birth weight and gestational duration in an urban area and evaluated main causal pathways for the influence of SES. METHODS: A population-based cross-sectional study was conducted among 559 mothers accessing postnatal services at the four main health facilities in Cape Coast, Ghana in 2011. Information on socioeconomic characteristics of the mothers was collected in a structured questionnaire. RESULTS: In multivariate linear regression adjusting for maternal age, parity and gender of newborn, low SES resulted in 292 g (95% CI: 440-145 reduction in birth weight. Important SES-related determinants were neighborhood poverty (221 g; 95% CI: 355-87, low education (187 g; 95% CI: 355-20, studentship during pregnancy (291 g; 95% CI: 506-76 and low income (147 g; 95% CI: 277-17. In causal pathway analysis, malaria infection (6-20%, poor nutrition (2-51% and indoor air pollution (10-62% mediated substantial proportions of the observed effects of socioeconomic deprivation on birth weight. Generalized linear models adjusting for confounders indicated a 218% (RR: 3.18; 95% CI: 1.41-7.21 risk increase of LBW and 83% (RR: 1.83; 95% CI: 1.31-2.56 of PTB among low income mothers. Low and middle SES was associated with 357% (RR: 4.57; 95% CI: 1.67-12.49 and 278% (RR: 3.78; 95% CI: 1.39-10.27 increased risk of LBW respectively. Malaria infection, poor nutrition and indoor air pollution respectively mediated 10-21%, 16-44% and 31-52% of the observed effects of socioeconomic disadvantage on LBW risk. CONCLUSION: We provide evidence of the effects of socioeconomic deprivation

  18. Malaria infection, poor nutrition and indoor air pollution mediate socioeconomic differences in adverse pregnancy outcomes in Cape Coast, Ghana.

    Science.gov (United States)

    Amegah, Adeladza K; Damptey, Obed K; Sarpong, Gideon A; Duah, Emmanuel; Vervoorn, David J; Jaakkola, Jouni J K

    2013-01-01

    The epidemiological evidence linking socioeconomic deprivation with adverse pregnancy outcomes has been conflicting mainly due to poor measurement of socioeconomic status (SES). Studies have also failed to evaluate the plausible pathways through which socioeconomic disadvantage impacts on pregnancy outcomes. We investigated the importance of maternal SES as determinant of birth weight and gestational duration in an urban area and evaluated main causal pathways for the influence of SES. A population-based cross-sectional study was conducted among 559 mothers accessing postnatal services at the four main health facilities in Cape Coast, Ghana in 2011. Information on socioeconomic characteristics of the mothers was collected in a structured questionnaire. In multivariate linear regression adjusting for maternal age, parity and gender of newborn, low SES resulted in 292 g (95% CI: 440-145) reduction in birth weight. Important SES-related determinants were neighborhood poverty (221 g; 95% CI: 355-87), low education (187 g; 95% CI: 355-20), studentship during pregnancy (291 g; 95% CI: 506-76) and low income (147 g; 95% CI: 277-17). In causal pathway analysis, malaria infection (6-20%), poor nutrition (2-51%) and indoor air pollution (10-62%) mediated substantial proportions of the observed effects of socioeconomic deprivation on birth weight. Generalized linear models adjusting for confounders indicated a 218% (RR: 3.18; 95% CI: 1.41-7.21) risk increase of LBW and 83% (RR: 1.83; 95% CI: 1.31-2.56) of PTB among low income mothers. Low and middle SES was associated with 357% (RR: 4.57; 95% CI: 1.67-12.49) and 278% (RR: 3.78; 95% CI: 1.39-10.27) increased risk of LBW respectively. Malaria infection, poor nutrition and indoor air pollution respectively mediated 10-21%, 16-44% and 31-52% of the observed effects of socioeconomic disadvantage on LBW risk. We provide evidence of the effects of socioeconomic deprivation, substantially mediated by malaria infection, poor nutrition

  19. Condições socioeconômicas e padrões alimentares de crianças de 4 a 11 anos: estudo SCAALA - Salvador/ Bahia The socio-economic conditions and patterns of food intake in children aged between 4 and 11 years: the SCAALA study - Salvador/ Bahia

    Directory of Open Access Journals (Sweden)

    Silvana D'Innocenzo

    2011-03-01

    Full Text Available OBJETIVOS: identificar os padrões alimentares de crianças e sua associação com o nível socioeconômico das famílias. MÉTODOS: estudo transversal com 1260 crianças de 4 a 11 anos, residentes em Salvador-Bahia que incluiu aplicação de um Questionário de Frequência Alimentar semi-quantitativo. Os padrões alimentares foram identificados, empregando-se análise fatorial por componentes principais. O nível socioeconômico foi avaliado por meio de um indicador socioeconômico composto. Regressão logística multivariada foi empregada. RESULTADOS: identificaram-se quatro padrões que explicaram 45,9% da variabilidade dos dados de frequência alimentar. Crianças que pertencem ao nível socioeconômico mais alto têm 1,60 vezes mais chance (pOBJECTIVE: to identify the patterns of food intake in children and the association between these and the socio-economic conditions of their families. METHODS: a cross-sectional study was carried out with 1260 children aged between 4 and 11 years, resident in the city of Salvador, in the Brazilian State of Bahia, including application of a semi-quantitative Food Intake Frequency questionnaire. The pattern of food intake of the children was assessed using factorial analysis by principal components. socio-economic level was assessed using a compound socio-economic indicator. Multivariate logistic regression was employed. RESULTS: four food groups were identified that explained 45.9% of the variability in food intake frequency data. Children from a more privileged socio-economic background were found to be 1.6 times more likely (p<0.001 to have a higher frequency of intake of food from group 1 (fruit, vegetables, pulses, cereals and sea food and 3.09 times more likely (p<0.001 to have a higher frequency of consumption of food from group 2 (milk and dairy products, ketchup/mustard/mayonnaise and chicken, compared with children from a less privileged background. The opposite was found for group 4 (processed

  20. Racial and Socioeconomic Differences Manifest in Process Measure Adherence for Enhanced Recovery After Surgery Pathway.

    Science.gov (United States)

    Leeds, Ira L; Alimi, Yewande; Hobson, Deborah R; Efron, Jonathan E; Wick, Elizabeth C; Haut, Elliott R; Johnston, Fabian M

    2017-10-01

    Adherence to care processes and surgical outcomes varies by population subgroups for the same procedure. Enhanced recovery after surgery pathways are intended to standardize care, but their effect on process adherence and outcomes for population subgroups is unknown. This study aims to demonstrate the association between recovery pathway implementation, process measures, and short-term surgical outcomes by population subgroup. This study is a pre- and post-quality improvement implementation cohort study. This study was conducted at a tertiary academic medical center. A modified colorectal enhanced recovery after surgery pathway was implemented. Patients were included who had elective colon and rectal resections before (2013) and following (2014-2016) recovery pathway implementation. Thirty-day outcomes by race and socioeconomic status were analyzed using a difference-in-difference approach with correlation to process adherence. We identified 639 cases (199 preimplementation, 440 postimplementation). In these cases, 75.2% of the patients were white, and 91.7% had a high socioeconomic status. Groups were similar in terms of other preoperative characteristics. Following pathway implementation, median lengths of stay improved in all subgroups (-1.0 days overall, p ≤ 0.001), but with no statistical difference by race or socioeconomic status (p = 0.89 and p = 0.29). Complication rates in both racial and socioeconomic groups were no different (26.4% vs 28.8%, p = 0.73; 27.3% vs 25.0%, p = 0.86) and remained unchanged with implementation (p = 0.93, p = 0.84). By race, overall adherence was 31.7% in white patients and 26.5% in nonwhite patients (p = 0.32). Although stratification by socioeconomic status demonstrated decreased overall adherence in the low-status group (31.8% vs 17.1%, p = 0.05), white patients were more likely to have regional pain therapy (57.1% vs 44.1%, p = 0.02) with a similar trend seen with socioeconomic status. Data were collected primarily for

  1. Socioeconomic differences in the cost, availability and quality of healthy food in Sydney.

    Science.gov (United States)

    Crawford, Belinda; Byun, Roy; Mitchell, Emily; Thompson, Susan; Jalaludin, Bin; Torvaldsen, Siranda

    2017-12-01

    To compare the cost of a basket of staple foods, together with the availability and quality of fresh fruit and vegetables, by supermarket store type in high and low socioeconomic suburbs of Sydney. A food basket survey was undertaken in 100 supermarkets in the 20 highest and 20 lowest socioeconomic suburbs of Sydney. We assessed the cost of 46 foods, the range of 30 fresh fruit and vegetables and the quality of ten fresh fruit and vegetables. Two major supermarket retailers, a discount supermarket chain and independent grocery stores were surveyed. The food basket was significantly cheaper in low compared to high socioeconomic suburbs ($177 vs $189, ptype and socioeconomic status of suburb. Implications for public health: A nationwide food and nutrition surveillance system is required to inform public health policy and practice initiatives. In addition to the food retail environment, these initiatives must address the underlying contributors to inequity and food insecurity for disadvantaged groups. © 2017 The Authors.

  2. Socioeconomic Factors and Childhood Overweight in Europe

    DEFF Research Database (Denmark)

    Bammann, K.; Gwozdz, Wencke; Lanfer, A.

    2013-01-01

    What is already known about this subject. Overweight and obesity can be linked to different parental socioeconomic factors already in very young children. In Western developed countries, the association of childhood overweight and obesity and parental socioeconomic status shows a negative gradient......-sectional association between socioeconomic factors, like socioeconomic status (SES), and the prevalence of childhood overweight. Differences and similarities regarding this relationship in eight European regions (located in Belgium, Cyprus, Estonia, Germany, Hungary, Italy, Spain and Sweden) are explored. 11 994....... Ambiguous results have been obtained regarding the association between socioeconomic factors and childhood overweight and obesity in different countries and over time. What this study adds. European regions show heterogeneous associations between socioeconomic factors and overweight and obesity in a multi...

  3. [Changes between pre-crisis and crisis period in socioeconomic inequalities in health and stimulant use in Netherlands].

    Science.gov (United States)

    Buggink, J W; de Goeij, M C M; Otten, F W J; Kunst, A

    2016-01-01

    International research suggests an impact of economic crises on population health, with different effects among different socioeconomic groups. Since the end of 2008 the Netherlands experienced a period of economic crisis. Our study explores how inequalities in perceived general and mental health, and alcohol and tobacco use changed after the recession started. Cross-sectional study using routinely collected data from surveys of the Dutch population. We used data from the Dutch Health Interview Surveys: 2006-2008 (pre-crisis period) and 2009-2013 (crisis period). Respondents aged 25-64 were divided into socioeconomic groups based on labour status, income level and income change. Inequalities in health and stimulant use among these socioeconomic groups were described by period and changes between the pre-crisis and crisis period were investigated using logistic regression models. Most inequalities did not change, with some exceptions. For perceived general health, inequalities between employed persons and persons not in the labour force were larger in the crisis-period (unfavourable trends for those not in the labour force). For smoking, inequalities between unemployed and employed persons were larger in the crisis period (decreasing smoking rates only for those employed), as did inequalities between persons with low and high income levels (decreasing smoking rates for those with higher income levels). Excessive drinking decreased among employed persons and persons with a decrease in income, while it remained stable among persons not in the labour force and among persons with an increase in income. The widening of some socioeconomic inequalities in health and stimulant use might suggest an enhanced vulnerability of lower socioeconomic groups to the post-2008 crisis.

  4. Changes between pre-crisis and crisis period in socioeconomic inequalities in health and stimulant use in Netherlands.

    Science.gov (United States)

    Bruggink, Jan-Willem; de Goeij, Moniek C M; Otten, Ferdy; Kunst, Anton E

    2016-10-01

    International research suggests an impact of economic crises on population health, with different effects among different socioeconomic groups. Since the end of 2008 the Netherlands experienced a period of economic crisis. Our study explores how inequalities in perceived general and mental health, and alcohol and tobacco use changed after the recession started. We used data from the Dutch Health Interview Surveys: 2006-2008 (pre-crisis period) and 2009-2013 (crisis period). Respondents aged 25-64 were divided into socioeconomic groups based on labour status, income level and income change. Inequalities in health and stimulant use among these socioeconomic groups were described by period and changes between the pre-crisis and crisis period were investigated using logistic regression models. Most inequalities did not change, with some exceptions. For perceived general health, inequalities between employed persons and persons not in the labour force were larger in the crisis period (unfavourable trends for those not in the labour force). For smoking, inequalities between unemployed and employed persons were larger in the crisis period (decreasing smoking rates only for those employed), as did inequalities between persons with low and high income levels (decreasing smoking rates for those with higher income levels). Excessive drinking decreased among employed persons and persons with a decrease in income, while it remained stable among persons not in the labour force and among persons with an increase in income. The widening of some socioeconomic inequalities in health and stimulant use might suggest an enhanced vulnerability of lower socioeconomic groups to the post-2008 crisis. © The Author 2016. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  5. The Relationship between Socioeconomic Status and Beliefs about Language Learning: A Study of Iranian Postgraduate EAP Students

    Science.gov (United States)

    Ariani, Mohsen Ghasemi; Ghafournia, Narjes

    2015-01-01

    This study explored the probable interaction between Iranian language students' beliefs about language learning and their socio-economic status. To this end, 350 postgraduate students, doing English courses at Islamic Azad University of Neyshabur participated in this study. They were grouped in terms of their socio-economic status. They answered a…

  6. Socioeconomic differences in children's television viewing trajectory: A population-based prospective cohort study.

    Science.gov (United States)

    Yang-Huang, Junwen; van Grieken, Amy; Moll, Henriëtte A; Jaddoe, Vincent W V; Wijtzes, Anne I; Raat, Hein

    2017-01-01

    We aimed to evaluate the association between family socioeconomic status and repeatedly measured child television viewing time from early childhood to the school period. We analyzed data on 3,561 Dutch children from the Generation R Study, a population-based study in the Netherlands. Parent-reported television viewing time for children aged 2, 3, 4, 6 and 9 years were collected by questionnaires sent from April 2004 until January 2015. Odds ratios of watching television ≥1 hour/day at each age were calculated for children of mothers with low, mid-low, mid-high and high (reference group) education and children from low, middle and high (reference group) income households. A generalized logistic mixed model was used to assess the association between family socioeconomic status and child television viewing time trajectory. The percentage of children watching television ≥1 hour/day increased from age 2 to 9 years for all children (24.2%-85.0% for children of low-educated mothers; 4.7%-61.4% for children of high-educated mothers; 17.2%-74.9% for children from low income households; 6.2%-65.1% for children from high income households). Independent socioeconomic effect in child television viewing time was found for maternal educational level. The interaction between net household income and child age in longitudinal analyses was significant (p = 0.01), indicating that the television viewing time trajectories were different in household income subgroups. However the interaction between maternal educational level and child age was not significant (p = 0.19). Inverse socioeconomic gradients in child television viewing time were found from the preschool period to the late school period. The educational differences between the various educational subgroups remained stable with increasing age, but the differences between household income groups changed over time. Intervention developers and healthcare practitioners need to raise awareness among non-highly educated parents

  7. Working class matters: socioeconomic disadvantage, race/ethnicity, gender, and smoking in NHIS 2000.

    Science.gov (United States)

    Barbeau, Elizabeth M; Krieger, Nancy; Soobader, Mah-Jabeen

    2004-02-01

    We sought to describe the burden of smoking on the US population, using diverse socioeconomic measures. We analyzed data from the 2000 National Health Interview Survey. Overall, the prevalence of current smoking was greatest among persons in--and independently associated with--working class jobs, low educational level, and low income. Attempts to quit showed no socioeconomic gradient, while success in quitting was greatest among those with the most socioeconomic resources. These patterns held in most but not all race/ethnicity-gender groups. Finer resolution of smoking patterns was obtained using a relational UK occupational measure, compared to the skill-based measure commonly used in US studies. Reducing social disparities in smoking requires attention to the complexities of class along with race/ethnicity and gender.

  8. GROUPING OF MUNICIPAL DISTRICTS OF THE ASTRAKHAN REGION OF SOCIO-ECONOMIC INDICATORS WITH APPLICATION OF FACTOR ANALYSIS

    Directory of Open Access Journals (Sweden)

    Marina V. Kolomeiko

    2014-01-01

    Full Text Available In the article analyzed and identifi ed the main factors affecting the level of poverty of the population in Astrakhan region made a multi-dimensional classifi cation of municipal districts of the Astrakhan region on socio-economic indicators characterizing the poverty of the population on thebasis of the cluster analysis.

  9. Socioeconomic status and alcohol use in low- and lower-middle income countries: A systematic review.

    Science.gov (United States)

    Allen, L N; Townsend, Nick; Williams, Julianne; Mikkelsen, Bente; Roberts, Nia; Wickramasinghe, Kremlin

    2017-12-27

    Harmful use of alcohol is a major cause of global morbidity and mortality. The role of alcohol as a driver of the unfolding non-communicable disease crisis has led to high-profile calls for better epidemiological data. Despite causing a disproportionate amount of harm in low-income groups, there is a critical dearth of evidence on the intra-national socioeconomic patterning of alcohol use in low- and lower-middle income countries (LLMICs). This review aims to fill the gap, providing evidence on the association between socioeconomic status (SES) and alcohol use in these low-income settings. We conducted a comprehensive literature search for primary research published between January 1, 1990 and June 30, 2015 using 13 electronic databases, including Embase and Medline. We also hand-searched references and reviewed 'gray literature' - studies that have not been published in peer-reviewed journals. We included studies from LLMICs presenting data on multiple measures of socioeconomic status and alcohol use. No age or language restrictions were applied. Due to high heterogeneity, we used a narrative approach for data synthesis. After reviewing 4242 records and 247 full-text articles, 23 studies met our inclusion criteria, reporting data on 861,295 individuals aged >10 years from 10 countries. Alcohol use was found to be more prevalent in lower socioeconomic groups in the majority of Southeast Asian studies. The association was mixed for African studies, although these tended to have smaller sample sizes and weaker methods. Studies that measured multiple domains of SES found good agreement between different indicators. Definitions of alcohol use and abuse varied widely between studies, as did socioeconomic groupings. The lack of consistency between studies and the abject lack of data from the majority of LLMICs present a major barrier to policymakers tasked with reducing alcohol-related harm in these settings. Adherence to standardized definitions, the publication of WHO

  10. Socioeconomic Inequality of Non-Communicable Risk Factors among People Living in Kurdistan Province, Islamic Republic of Iran.

    Science.gov (United States)

    Moradi, Ghobad; Mohammad, Kazem; Majdzadeh, Reza; Ardakani, Hossein Malekafzali; Naieni, Kourosh Holakouie

    2013-06-01

    The most fundamental way to decrease the burden of noncommunicable diseases (NCDs) is to identify and control their related risk factors. The goal of this study is to determine socioeconomic inequalities in risk factors for NCDs using concentration index based on Non-Communicable Disease Surveillance Survey (NCDSS) data in Kurdistan province, Islamic Republic of Iran in 2005 and 2009. The required data for this study are taken from two NCDSSs in Kurdistan province in 2005 and 2009. A total of 2,494 persons in 2005 and 997 persons in 2009 were assessed. Concentration index was used to determine socioeconomic inequality. To assess the relationship between the prevalence of each risk factor and socioeconomic status (SES), logistic regression was used and odds ratio (OR) was calculated for each group, compared with the poorest group. The concentration index for hypertension was -0.095 (-0.158, -0.032) in 2005 and -0.080 (-0.156, -0.003) in 2009. The concentration index for insufficient consumption of fruits and vegetables was -0.117 (-0.153, -0.082) in 2005 and -0.100 (-0.153, -0.082) in 2009. The concentration index for the consumption of unhealthy fat and oil was -0.034 (-0.049, -0.019) in 2005 and -0.108 (-0.165, -0.051) in 2009. The concentration index for insufficient consumption of fish was -0.070 (-0.096, -0.044) in 2005. The concentration index for physical inactivity was 0.008 (-0.057, 0.075) in 2005 and 0.139 (0.063, 0.215) in 2009. In all the cases, the OR of the richest group to the poorest group was significant. Hypertension, insufficient consumption of fruits and vegetables, consumption of unhealthy fat and oil, and insufficient consumption of fish are more prevalent among poor groups. There was no significant socioeconomic inequality in the distribution of smoking, excess weight, and hypercholesterolemia. Physical inactivity was more prevalent among the rich groups of society in 2009. The reduction of socioeconomic inequalities must become a main goal in

  11. Multivariate strategies in functional magnetic resonance imaging

    DEFF Research Database (Denmark)

    Hansen, Lars Kai

    2007-01-01

    We discuss aspects of multivariate fMRI modeling, including the statistical evaluation of multivariate models and means for dimensional reduction. In a case study we analyze linear and non-linear dimensional reduction tools in the context of a `mind reading' predictive multivariate fMRI model....

  12. Applied multivariate statistical analysis

    CERN Document Server

    Härdle, Wolfgang Karl

    2015-01-01

    Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners.  It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added.  All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers’ preferences are collected in order to construct models of consumer behavior.  All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate ...

  13. Multivariate Bonferroni-type inequalities theory and applications

    CERN Document Server

    Chen, John

    2014-01-01

    Multivariate Bonferroni-Type Inequalities: Theory and Applications presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade. The emergence of new bounding approaches pushes the conventional definitions of optimal inequalities and demands new insights into linear and Fréchet optimality. The book explores these advances in bounding techniques with corresponding innovative applications. It presents the method of linear programming for multivariate bounds, multivariate hybrid bounds, sub-Markovian bounds, and bounds using Hamil

  14. A kernel version of multivariate alteration detection

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg; Vestergaard, Jacob Schack

    2013-01-01

    Based on the established methods kernel canonical correlation analysis and multivariate alteration detection we introduce a kernel version of multivariate alteration detection. A case study with SPOT HRV data shows that the kMAD variates focus on extreme change observations.......Based on the established methods kernel canonical correlation analysis and multivariate alteration detection we introduce a kernel version of multivariate alteration detection. A case study with SPOT HRV data shows that the kMAD variates focus on extreme change observations....

  15. Suicide in young adults: psychiatric and socio-economic factors from a case-control study.

    Science.gov (United States)

    Page, Andrew; Morrell, Stephen; Hobbs, Coletta; Carter, Greg; Dudley, Michael; Duflou, Johan; Taylor, Richard

    2014-03-06

    Suicide in young adults remains an important public health issue in Australia. The attributable risks associated with broader socioeconomic factors, compared to more proximal psychiatric disorders, have not been considered previously in individual-level studies of young adults. This study compared the relative contributions of psychiatric disorder and socio-economic disadvantage associated with suicide in terms of relative and attributable risk in young adults. A population-based case-control study of young adults (18-34 years) compared cases of suicide (n = 84) with randomly selected controls (n = 250) from population catchments in New South Wales (Australia), with exposure information collected from key informant interviews (for both cases and controls). The relative and attributable risk of suicide associated with ICD-10 defined substance use, affective, and anxiety disorder was compared with educational achievement and household income, adjusting for key confounders. Prevalence of exposures from the control group was used to estimate population attributable fractions (PAF). Strong associations were evident between mental disorders and suicide for both males and females (ORs 3.1 to 18.7). The strongest association was for anxiety disorders (both males and females), followed by affective disorders and substance use disorders. Associations for socio-economic status were smaller in magnitude than for mental disorders for both males and females (ORs 1.1 to 4.8 for lower compared to high SES groups). The combined PAF% for all mental disorders (48% for males and 52% for females) was similar in magnitude to socio-economic status (46% for males and 58% for females). Socio-economic status had a similar magnitude of population attributable risk for suicide as mental disorders. Public health interventions to reduce suicide should incorporate socio-economic disadvantage in addition to mental illness as a potential target for intervention.

  16. Birth Rates of Ethnic Groups in Croatia from 1998 to 2008

    Directory of Open Access Journals (Sweden)

    Dario Pavić

    2013-04-01

    Full Text Available Belonging to an ethnic group can affect both socio-economic status and birth-rate (fertility of the individual. Thus women of minority ethnic groups usually have a relatively high birth-rate, and they are more often single mothers, have lower education and generally lower socio-economic status. Although numerous international researches confirmed the differences in birth rates between ethnic groups, the relationship between ethnicity and birth rates has almost not been investigated in Croatia. This research analyzed the fertility rates of ethnic groups in the Republic of Croatia as well as the relationship between mother's ethnicity and socio-economic variables: age at birth, education, economic activity, nuptiality and birth order. The birth data from DEM-1 forms were used for years 1998 to 2008 as well as the data from the 2001 Census. The links between the mother’s ethnicity and all of the socio-economic variables was established although the magnitude of this correlation was small. Also, there were significant differences in the fertility rates of ethnic groups. The women of Albanian, Bosniak, Romani and other ethnicities, and to some degree Serbian women as well, had lower socio-economic status while the Romani and Albanian women had high fertility. However, it is not possible to establish a clear relationship between ethnicity and fertility owing to methodological difficulties and the way of keeping vital statistics. The inclusion of the variable ethnicity and the presentation of socio-economic variables according to mother’s ethnicity in the official statistical publications would facilitate future research and enable to create a more efficient demographic and social policy.

  17. Noise nuisance and health inequalities in Belgium: a population study

    OpenAIRE

    Schmit, C; Lorant, V

    2009-01-01

    Context Lower socioeconomic groups are more likely to live in contaminated environments. This may partly explain socioeconomic health inequalities. Aims Does noise nuisance contribute to socio-economic inequalities in subjective health? Method This research is based on the last Belgian census data carried out in 2001. We work on a 10% sample of the Belgian population. The data are processed through bivariate and multivariate analyses. We model poor subjective health in relation to exposure to...

  18. A review of multivariate analyses in imaging genetics

    Directory of Open Access Journals (Sweden)

    Jingyu eLiu

    2014-03-01

    Full Text Available Recent advances in neuroimaging technology and molecular genetics provide the unique opportunity to investigate genetic influence on the variation of brain attributes. Since the year 2000, when the initial publication on brain imaging and genetics was released, imaging genetics has been a rapidly growing research approach with increasing publications every year. Several reviews have been offered to the research community focusing on various study designs. In addition to study design, analytic tools and their proper implementation are also critical to the success of a study. In this review, we survey recent publications using data from neuroimaging and genetics, focusing on methods capturing multivariate effects accommodating the large number of variables from both imaging data and genetic data. We group the analyses of genetic or genomic data into either a prior driven or data driven approach, including gene-set enrichment analysis, multifactor dimensionality reduction, principal component analysis, independent component analysis (ICA, and clustering. For the analyses of imaging data, ICA and extensions of ICA are the most widely used multivariate methods. Given detailed reviews of multivariate analyses of imaging data available elsewhere, we provide a brief summary here that includes a recently proposed method known as independent vector analysis. Finally, we review methods focused on bridging the imaging and genetic data by establishing multivariate and multiple genotype-phenotype associations, including sparse partial least squares, sparse canonical correlation analysis, sparse reduced rank regression and parallel ICA. These methods are designed to extract latent variables from both genetic and imaging data, which become new genotypes and phenotypes, and the links between the new genotype-phenotype pairs are maximized using different cost functions. The relationship between these methods along with their assumptions, advantages, and

  19. Extending a scatterplot for displaying group structure in multivariate ...

    African Journals Online (AJOL)

    is awarded a credibility rating of A, B, C or D according to various financial ... of finding groups in data (see for example Kaufman and Rousseeuw (1990), McLachlan ..... Kraft liner. Sack paper. Min. Max. Min. Max. Total Yield. 43. 50. 43. 50. Alkali. 70 ..... ley J, Gourlay ID, O'Brien E, Plumptre RA & Quilter AK, 2003, Effect of.

  20. Multivariate Matrix-Exponential Distributions

    DEFF Research Database (Denmark)

    Bladt, Mogens; Nielsen, Bo Friis

    2010-01-01

    be written as linear combinations of the elements in the exponential of a matrix. For this reason we shall refer to multivariate distributions with rational Laplace transform as multivariate matrix-exponential distributions (MVME). The marginal distributions of an MVME are univariate matrix......-exponential distributions. We prove a characterization that states that a distribution is an MVME distribution if and only if all non-negative, non-null linear combinations of the coordinates have a univariate matrix-exponential distribution. This theorem is analog to a well-known characterization theorem...

  1. Socioeconomic Inequalities in Mental Health of Adult Population: Serbian National Health Survey

    Directory of Open Access Journals (Sweden)

    Milena Santric Milicevic

    2016-02-01

    Full Text Available Background: The global burden of mental disorders is rising. In Serbia, anxiety is the leading cause of disability-adjusted life years. Serbia has no mental health survey at the population level. The information on prevalence of mental disorders and related socioeconomic inequalities are valuable for mental care improvement. Aims: То explore the prevalence of mental health disorders and socioeconomic inequalities in mental health of adult Serbian population, and to explore whether age years and employment status interact with mental health in urban and rural settlements. Study Design: Cross-sectional study. Methods: This study is an additional analysis of Serbian Health Survey 2006 that was carried out with standardized household questionnaires at the representative sample of 7673 randomly selected households – 15563 adults. The response rate was 93%. A multivariate logistic regression modeling highlighted the predictors of the 5 item Mental Health Inventory (MHI-5, and of chronic anxiety or depression within eight independent variables (age, gender, type of settlement, marital status and self-perceived health, education, employment status and Wealth Index. The significance level in descriptive statistics, chi square analysis and bivariate and multivariate logistic regressions was set at p<0.05. Results: Chronic anxiety or depression was seen in 4.9% of the respondents, and poor MHI-5 in 47% of respondents. Low education (Odds Ratios 1.32; 95% confidence intervals=1.16-1.51, unemployment (1.36; 1.18-1.56, single status (1.34; 1.23-1.45, and Wealth Index middle class (1.20; 1.08-1.32 or poor (1.33; 1.21-1.47 were significantly related with poor MHI-5. Unemployed persons in urban settlements had higher odds for poormMHI-5 than unemployed in rural areas (0.73; 0.59-0.89. Single (1.50; 1.26-1.78, unemployed (1.39; 1.07-1.80 and inactive respondents (1.42; 1.10-1.83 had a higher odds of chronic anxiety or depression than married individuals, or

  2. Multivariate analysis methods in physics

    International Nuclear Information System (INIS)

    Wolter, M.

    2007-01-01

    A review of multivariate methods based on statistical training is given. Several multivariate methods useful in high-energy physics analysis are discussed. Selected examples from current research in particle physics are discussed, both from the on-line trigger selection and from the off-line analysis. Also statistical training methods are presented and some new application are suggested [ru

  3. Socioeconomic status and fertility decline

    DEFF Research Database (Denmark)

    Dribe, Martin; Breschi, Marco; Gagnon, Alain

    2017-01-01

    America to analyse the relationship between socio-economic status and fertility during the fertility transition. Using comparable analytical models and class schemes for each population, we examined the changing socio-economic differences in marital fertility and related these to common theories...

  4. THE RELATIONSHIP BETWEEN METABOLIC SYNDROME AND ITS COMPONENTS WITH SOCIO-ECONOMIC STATUS AMONG ADOLESCENTS IN SHIRAZ, SOUTHERN IRAN.

    Science.gov (United States)

    Bahrani, Robab; Chan, Yoke Mun; Khor, Geok Lin; Rahman, Hejar Abul; Esmailzadeh, Ahmad; Wong, Teck Wee

    2016-03-01

    The objective of this study was to investigate the relationship between metabolic syndrome and its individual components with socio-economic factors among 14-18 year-old adolescents in Shiraz, Iran. Using a multistage random sampling, a total of 538 (289 males and 249 females) adolescents consented to the study. Socio-economic status was obtained using a self-administered questionnaire while presence of metabolic syndrome and its individual components was ascertained using NCEP-ATP III criteria. The relationships between the participants' socio-economic status and metabolic syndrome and its components were determined using bivariate and multivariate statistical analyses. Approximately 6% of the adolescents had metabolic syndrome, with significantly more males than females (9.3% vs 2.4%, p Metabolic syndrome was significantly more prevalent in obese participants (44.4%) than those with normal body weight (2.0%) or overweight (9.3%). There were positive associations between the components of metabolic syndrome and parental education, school location and household monthly income. Having a family history of obesity was associated with metabolic syndrome after controlling for other variables (OR = 2.1; 95% CI: 0.9-5.2, p = 0.042). Overweight and obese subjects were approximately 8 times and 15 times more likely to develop metabolic syndrome, respectively (overweight: OR = 8.2; 95% CI: 3.6-17.2; obese: OR = 15.4; 95% CI: 4.8-43.7). In conclusion, a positive association exists between socio-economic status and metabolic syndrome and its individual components among the studied participants. An intervention program to prevent metabolic syndrome needs to be developed for this young generation, especially among those who are overweight or obese and those with a family history of obesity. Keywords: adolescents, metabolic syndrome, components of metabolic syndrome, socio-economic status, Iran

  5. Academic Interventions for Elementary and Middle School Students with Low Socioeconomic Status: A Systematic Review and Meta-Analysis

    Science.gov (United States)

    Dietrichson, Jens; Bøg, Martin; Filges, Trine; Klint Jørgensen, Anne-Marie

    2017-01-01

    Socioeconomic status is a major predictor of educational achievement. This systematic review and meta-analysis seeks to identify effective academic interventions for elementary and middle school students with low socioeconomic status. Included studies have used a treatment-control group design, were performed in OECD and EU countries, and measured…

  6. Method for statistical data analysis of multivariate observations

    CERN Document Server

    Gnanadesikan, R

    1997-01-01

    A practical guide for multivariate statistical techniques-- now updated and revised In recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate Observations explores current multivariate concepts and techniques while retaining the same practical focus of its predecessor. It integrates methods and data-based interpretations relevant to multivariate analysis in a way that addresses real-world problems arising in many areas of inte

  7. Multivariate survival analysis and competing risks

    CERN Document Server

    Crowder, Martin J

    2012-01-01

    Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.

  8. The value of multivariate model sophistication

    DEFF Research Database (Denmark)

    Rombouts, Jeroen; Stentoft, Lars; Violante, Francesco

    2014-01-01

    We assess the predictive accuracies of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set of 444 multivariate models that differ in their spec....... In addition to investigating the value of model sophistication in terms of dollar losses directly, we also use the model confidence set approach to statistically infer the set of models that delivers the best pricing performances.......We assess the predictive accuracies of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set of 444 multivariate models that differ...

  9. COUNTRY-LEVEL SOCIOECONOMIC INDICATORS ASSOCIATED WITH SURVIVAL PROBABILITY OF BECOMING A CENTENARIAN AMONG OLDER EUROPEAN ADULTS: GENDER INEQUALITY, MALE LABOUR FORCE PARTICIPATION AND PROPORTIONS OF WOMEN IN PARLIAMENTS.

    Science.gov (United States)

    Kim, Jong In; Kim, Gukbin

    2017-03-01

    This study confirms an association between survival probability of becoming a centenarian (SPBC) for those aged 65 to 69 and country-level socioeconomic indicators in Europe: the gender inequality index (GII), male labour force participation (MLP) rates and proportions of seats held by women in national parliaments (PWP). The analysis was based on SPBC data from 34 countries obtained from the United Nations (UN). Country-level socioeconomic indicator data were obtained from the UN and World Bank databases. The associations between socioeconomic indicators and SPBC were assessed using correlation coefficients and multivariate regression models. The findings show significant correlations between the SPBC for women and men aged 65 to 69 and country-level socioeconomic indicators: GII (r=-0.674, p=0.001), MLP (r=0.514, p=0.002) and PWP (r=0.498, p=0.003). The SPBC predictors for women and men were lower GIIs and higher MLP and PWP (R 2=0.508, p=0.001). Country-level socioeconomic indicators appear to have an important effect on the probability of becoming a centenarian in European adults aged 65 to 69. Country-level gender equality policies in European counties may decrease the risk of unhealthy old age and increase longevity in elders through greater national gender equality; disparities in GII and other country-level socioeconomic indicators impact longevity probability. National longevity strategies should target country-level gender inequality.

  10. Socioeconomic factors influencing hospitalized patients with pneumonia due to influenza A(H1N1pdm09 in Mexico.

    Directory of Open Access Journals (Sweden)

    Toshie Manabe

    Full Text Available BACKGROUND: In addition to clinical aspects and pathogen characteristics, people's health-related behavior and socioeconomic conditions can affect the occurrence and severity of diseases including influenza A(H1N1pdm09. METHODOLOGY AND PRINCIPAL FINDINGS: A face-to-face interview survey was conducted in a hospital in Mexico City at the time of follow-up consultation for hospitalized patients with pneumonia due to influenza virus infection. In all, 302 subjects were enrolled and divided into two groups based on the period of hospitalization. Among them, 211 tested positive for influenza A(H1N1pdm09 virus by real-time reverse-transcriptase-polymerase-chain-reaction during the pandemic period (Group-pdm and 91 tested positive for influenza A virus in the post-pandemic period (Group-post. All subjects were treated with oseltamivir. Data on the demographic characteristics, socioeconomic status, living environment, and information relating to A(H1N1pdm09, and related clinical data were compared between subjects in Group-pdm and those in Group-post. The ability of household income to pay for utilities, food, and health care services as well as housing quality in terms of construction materials and number of rooms revealed a significant difference: Group-post had lower socioeconomic status than Group-pdm. Group-post had lower availability of information regarding H1N1 influenza than Group-pdm. These results indicate that subjects in Group-post had difficulty receiving necessary information relating to influenza and were more likely to be impoverished than those in Group-pdm. Possible factors influencing time to seeking health care were number of household rooms, having received information on the necessity of quick access to health care, and house construction materials. CONCLUSIONS: Health-care-seeking behavior, poverty level, and the distribution of information affect the occurrence and severity of pneumonia due to H1N1 virus from a socioeconomic

  11. Correlates of High Serum C-Reactive Protein Levels in a Socioeconomically Disadvantaged Population

    Directory of Open Access Journals (Sweden)

    Xianglan Zhang

    2008-01-01

    Full Text Available Individuals from low socioeconomic backgrounds are disproportionately affected by the burden of cardiovascular disease (CVD, yet data regarding risk factors in this population are lacking, particularly regarding emerging biomarkers of CVD such as C-reactive protein (CRP. We measured high-sensitivity CRP and examined its association with demographic and lifestyle factors in a sample of 792 participants aged 40–79 years from the Southern Community Cohort Study, which has an over-representation of socioeconomically disadvantaged individuals (over 60% with a total annual household income 3 mg/L varied significantly by sex, race, smoking status, and body mass index (BMI. The multivariable-adjusted prevalence odds ratios (ORs (95% CIs for having elevated CRP were 1.6 (1.1–2.3 for women vs. men, 1.4 (0.9–2.0 for African Americans vs. whites, 2.3 (1.4–3.8 for African American women vs. white men, 1.8 (1.2–2.7 for current smokers vs. non-smokers, and 4.2 (2.7–6.6 for obese (BMI 30.0–44.9 kg/m2 vs. healthy-weight (BMI 18.3–24.9 kg/m2 participants. Further stratified analyses revealed that the association between BMI and elevated CRP was stronger among African Americans than whites and women than men, with prevalence ORs (95% CI comparing obese vs. healthy-weight categories reaching 22.8 (7.1–73.8 for African American women. In conclusion, in this socioeconomically disadvantaged population, sex, race, smoking, and BMI were associated with elevated CRP. Moreover, inflammatory response to obesity differed by race and sex, which may contribute to CVD disparities.

  12. The relationship between socioeconomic status and beverage consumption in children: The Cuenca Study.

    Science.gov (United States)

    Milla Tobarra, Marta; García Hermoso, Antonio; Lahoz García, Noelia; Notario Pacheco, Blanca; Lucas de la Cruz, Lidia; Pozuelo Carrascosa, Diana P; García Meseguer, María José; Martínez Vizcaíno, Vicente A

    2018-01-19

    beverage consumption constitutes a source of children's daily energy intake. Some authors have suggested that consumption of caloric beverages is higher in children with a low socioeconomic position because families limit their spending on healthy food in order to save money. the aim of this study was to explore the relationship between socioeconomic status and Spanish children's beverage consumption. a cross-sectional study was conducted in a sub-sample of 182 children (74 girls) aged 9-11 from the province of Cuenca (Spain). Beverage consumption was assessed using the YANA-C assessment tool, validated for HELENA study. Data for parental socioeconomic status were gathered by using self-reported occupation and education questions answered by parents and classified according to the scale proposed by the Spanish Society of Epidemiology. beverage intake was higher in children belonging to a middle-status family than in those of upper socioeconomic status (p = 0.037). The energy from beverages was similar in most water intake categories, except for water from beverages (p = 0.046). Regarding other beverages categories, middle-status children had higher consumption levels. In contrast, lower status children drank more fruit juices and skimmed milk. All of these do not show statistically significant differences. our study did not find significant associations between beverages consumption and socioeconomic status in children. In fact, intake for most beverage categories was higher in middle-status children than in both other socioeconomic groups. Future research is needed in order to identify this complex relation between socioeconomic inequality and beverage intake behavior.

  13. HIV and risk behaviors of persons of low socio-economic status, Popayan-Colombia (2008-2009)

    Science.gov (United States)

    Pinzón, María Virgínia; Tello, Ines Constanza; Rincón-Hoyos, Hernan Gilberto; Galindo, Jaime

    2013-01-01

    Abstract Objetive: To determine HIV presence and risk behaviors of persons of low socio-economic status in the city of Popayan-Colombia. Methods: Cross-sectional study; between 2008 and 2009, 363 participants of Popayan signed informed consent and received pre and post HIV test counseling. Socio-demographic characteristics and history of STDs, risk behaviors and previous HIV testing were assessed. Descriptive statistics, correlations and multivariate logistic regression were calculated. Results: Mean age 33.5±10,2; 66 %women. Frequency of HIV-positive patients was 3.86 % (95% CI:1.87-5.85), greater in men (7.38%; p= 0.013). Greater frequency of HIV-positive patients was observed in people age 29-37, those without a stable partner, and those with history of risky alcohol consumption (more than five drinks in 2 h). Conclusions: HIV-positive patients frequency in this population was greater than national estimate for general population, aged 15-49 in Colombia, with even greater frequency in men. This study suggests that characteristics associated with low socioeconomic status, in economically active population, without a stable partner and with risky alcohol use, can potentially increase risk of HIV infection. PMID:24892315

  14. Influence of socioeconomic position and gender on current cigarette smoking among people living with HIV in sub-Saharan Africa: disentangling context from composition.

    Science.gov (United States)

    Uthman, Olalekan A; Ekström, Anna Mia; Moradi, Tahereh T

    2016-09-20

    Smoking is still gaining ground in Sub-Saharan Africa, especially among socially disadvantaged groups. People living with HIV represent a subgroup with a significantly elevated prevalence of cigarette smoking. The objective of the study was to examine the influence of individual-, neighbourhood- and country-level socioeconomic position on current cigarette smoking among people living with HIV in Sub-Saharan Africa. We applied multivariable multilevel logistic regression analysis on Demographic and Health Survey data collected between 2003 and 2012 in sub-Saharan Africa. We identified 31,270 individual living with HIV (Level 1) nested within 7,054 neighbourhoods (Level 2) from 19 countries (Level 3). After adjustment for individual-, neighbourhood- and country-level factors, respondents, the following significant independent risk factors for increasing odds of being a current cigarette smokers among people living with HIV: male gender (odds ratio [OR] = 62.49; 95 % credible interval [CrI] 45.93 to 78.28), from the poorer households (OR = 1.62, 95 % CrI 1.38 to 1.90); living in urban areas (OR = 1.24, 95 % CrI 1.09 to 1.41), from neighbourhoods with low poverty rate (OR = 1.25, 95 % CrI 1.09 to 1.43), illiteracy rate (OR = 1.28, 95 % CrI 1.14 to 1.42), low unemployment rate (OR = 1.11, 95 % crI 1.01 to 1.43); and from countries with low socio-economic deprivation (OR = 1.53, 95 CrI 1.08 to 1.96). About 3.4 % and 39.4 % variation in cigarette smoking behaviour among people living with HIV is conditioned by differences between neighbourhoods and countries. Gender, education and socioeconomic context are independently associated with current cigarette smoking among people living with HIV in sub-Saharan Africa.

  15. Multivariate statistical methods a first course

    CERN Document Server

    Marcoulides, George A

    2014-01-01

    Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is poin

  16. Limited socioeconomic opportunities and Latina teen childbearing: a qualitative study of family and structural factors affecting future expectations.

    Science.gov (United States)

    Minnis, Alexandra M; Marchi, Kristen; Ralph, Lauren; Biggs, M Antonia; Combellick, Sarah; Arons, Abigail; Brindis, Claire D; Braveman, Paula

    2013-04-01

    The decrease in adolescent birth rates in the United States has been slower among Latinas than among other ethnic/racial groups. Limited research has explored how socioeconomic opportunities influence childbearing among Latina adolescents. We conducted in-depth interviews with 65 pregnant foreign- and US-born Latina women (31 adolescents; 34 adults) in two California counties. We assessed perceived socioeconomic opportunities and examined how family, immigration and acculturation affected the relationships between socioeconomic opportunities and adolescent childbearing. Compared with women who delayed childbearing into adulthood, pregnant adolescents described having few resources for educational and career development and experiencing numerous socioeconomic and social barriers to achieving their goals. Socioeconomic instability and policies limiting access to education influenced childbearing for immigrant adolescents. In contrast, family disintegration tied to poverty figured prominently in US-born adolescents' childbearing. Limited socioeconomic opportunities may play a large role in persistently high pregnancy rates among Latina adolescents.

  17. Empirical measurement of socio-economic status of farm families in ...

    African Journals Online (AJOL)

    A universe of 106 socio-economic status indicators was collated. The t-test and point-biserial correlation were used in the item analysis of quantitatively measured and dichotomous items respectively. Forty items were found valid across all the ethnic groups in the state. The 40 items were standardized into a socio-economic ...

  18. Socioeconomic assessment: issues, status, and plans

    International Nuclear Information System (INIS)

    Boryczka, M.K.

    1983-01-01

    Numerous public meetings and hearings have been held in Texas, Mississippi, Louisiana and Utah on the issue of siting a nuclear waste repository in salt. Citizens in these potential site areas have raised many questions about how this facility will affect their quality of life. Questions about population and economic changes have been of particular concern. In developing a socioeconomic program, these issues and others have been an integral part of Battelle's socioeconomic studies. The three elements of Battelle's socioeconomic program are comprised of three elements: impact assessment, impact mitigation and community development, and impact monitoring. In addition, our approach to assessing socioeconomic impacts for the environmental assessment (EA) required by the Nuclear Waste Policy Act of 1982 are described. Since the EA analysis will address many of the issues raised in the site areas, these concerns will be elaborated on. Finally, various techniques for managing socioeconomic impacts will be presented. 6 references, 1 figure

  19. Multivariable control in nuclear power stations

    International Nuclear Information System (INIS)

    Parent, M.; McMorran, P.D.

    1982-11-01

    Multivariable methods have the potential to improve the control of large systems such as nuclear power stations. Linear-quadratic optimal control is a multivariable method based on the minimization of a cost function. A related technique leads to the Kalman filter for estimation of plant state from noisy measurements. A design program for optimal control and Kalman filtering has been developed as part of a computer-aided design package for multivariable control systems. The method is demonstrated on a model of a nuclear steam generator, and simulated results are presented

  20. Socioeconomic status and non-communicable disease behavioural risk factors in low-income and lower-middle-income countries: a systematic review.

    Science.gov (United States)

    Allen, Luke; Williams, Julianne; Townsend, Nick; Mikkelsen, Bente; Roberts, Nia; Foster, Charlie; Wickramasinghe, Kremlin

    2017-03-01

    Non-communicable diseases are the leading global cause of death and disproportionately afflict those living in low-income and lower-middle-income countries (LLMICs). The association between socioeconomic status and non-communicable disease behavioural risk factors is well established in high-income countries, but it is not clear how behavioural risk factors are distributed within LLMICs. We aimed to systematically review evidence on the association between socioeconomic status and harmful use of alcohol, tobacco use, unhealthy diets, and physical inactivity within LLMICs. We searched 13 electronic databases, including Embase and MEDLINE, grey literature, and reference lists for primary research published between Jan 1, 1990, and June 30, 2015. We included studies from LLMICs presenting data on multiple measures of socioeconomic status and tobacco use, alcohol use, diet, and physical activity. No age or language restrictions were applied. We excluded studies that did not allow comparison between more or less advantaged groups. We used a piloted version of the Cochrane Effective Practice and Organisation of Care Group data collection checklist to extract relevant data at the household and individual level from the included full text studies including study type, methods, outcomes, and results. Due to high heterogeneity, we used a narrative approach for data synthesis. We used descriptive statistics to assess whether the prevalence of each risk factor varied significantly between members of different socioeconomic groups. The study protocol is registered with PROSPERO, number CRD42015026604. After reviewing 4242 records, 75 studies met our inclusion criteria, representing 2 135 314 individuals older than 10 years from 39 LLMICs. Low socioeconomic groups were found to have a significantly higher prevalence of tobacco and alcohol use than did high socioeconomic groups. These groups also consumed less fruit, vegetables, fish, and fibre than those of high

  1. Time perspective and socioeconomic status: a link to socioeconomic disparities in health?

    Science.gov (United States)

    Guthrie, Lori C; Butler, Stephen C; Ward, Michael M

    2009-06-01

    Time perspective is a measure of the degree to which one's thinking is motivated by considerations of the future, present, or past. Time perspective has been proposed as a potential mediator of socioeconomic disparities in health because it has been associated with health behaviors and is presumed to vary with socioeconomic status. In this cross-sectional community-based survey of respondents recruited from hair salons and barber shops in a suburb of Washington DC, we examined the association between time perspective and both education level and occupation. We asked participants (N=525) to complete a questionnaire that included three subscales (future, present-fatalistic, and present-hedonistic) of the Zimbardo Time Perspective Inventory. Participants with more formal education and those with professional occupations had higher scores on the future time perspective subscale, and lower scores on the present-fatalistic subscale, than participants with less formal education or a non-professional occupation. Present-fatalistic scores were also higher among participants whose parents had less formal education. Present-hedonistic scores were not associated with either education level or professional occupation. Time perspective scores were not independently associated with the likelihood of obesity, smoking, or exercise. In this community sample, future time perspective was associated with current socioeconomic status, and past-fatalistic time perspective was associated with both current and childhood socioeconomic status.

  2. Socioeconomic differences in purchases of more vs. less healthy foods and beverages: analysis of over 25,000 British households in 2010.

    Science.gov (United States)

    Pechey, Rachel; Jebb, Susan A; Kelly, Michael P; Almiron-Roig, Eva; Conde, Susana; Nakamura, Ryota; Shemilt, Ian; Suhrcke, Marc; Marteau, Theresa M

    2013-09-01

    Socioeconomic inequalities in diet-related health outcomes are well-recognised, but are not fully explained by observational studies of consumption. We provide a novel analysis to identify purchasing patterns more precisely, based on data for take-home food and beverage purchases from 25,674 British households in 2010. To examine socioeconomic differences (measured by occupation), we conducted regression analyses on the proportion of energy purchased from (a) each of 43 food or beverage categories and (b) major nutrients. Results showed numerous small category-level socioeconomic differences. Aggregation of the categories showed lower SES groups generally purchased a greater proportion of energy from less healthy foods and beverages than those in higher SES groups (65% and 60%, respectively), while higher SES groups purchased a greater proportion of energy from healthier food and beverages (28% vs. 24%). At the nutrient-level, socioeconomic differences were less marked, although higher SES was associated with purchasing greater proportions of fibre, protein and total sugars, and smaller proportions of sodium. The observed pattern of purchasing across SES groups contributes to the explanation of observed health differences between groups and highlights targets for interventions to reduce health inequalities. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

  3. History or histories of socio-economic rights?

    DEFF Research Database (Denmark)

    Christiansen, Christian O.

    2016-01-01

    The German historian Reinhart Koselleck was once described as a partisan for histories in the plural (as opposed to history in the singular). His point was that history has many different layers, logics, and temporalities and that the modernist idea of one, overarching history with one direction ......) at work in the histories and dynamics of socio-economic rights. More specifically, I propose a list of eight important variables that may help explain the dynamics of the histories of socio-economic rights - their failures as well as their successes....... (telos) – be it towards progress or decline – was inadequate for the multi-faceted geographies, rhythms and dynamics of life. In these reflections on a two-days research workshop in Paris, I argue that Koselleck’s point also applies to the field of the history of socio-economic rights. Instead of writing...... the history of socio-economic rights, I would propose thinking about the histories of socio-economic rights. There are three main reasons for this: the non-teleological histories of socioeconomic rights; the distinctiveness between different socio-economic rights; and the complexity (multiple variables...

  4. Socioeconomic, cultural and demographic maternal factors associated with dietary patterns of infants

    Directory of Open Access Journals (Sweden)

    Andréa Marques Sotero

    2015-12-01

    Full Text Available Objective: To analyze dietary patterns of infants and its association with maternal socioeconomic, cultural, and demographic variables. Methods: A cross-sectional study was conducted with two groups of mothers of children up to 24 months (n=202 living in the city of Maceió, Alagoas, Northeast Brazil. The case group consisted of mothers enrolled in a Family Health Unit. The comparison group consisted of mothers who took their children to two private pediatric offices of the city. Dietary intake was assessed using a qualitative and validated food frequency questionnaire (FFQ. The evaluation of the FFQ was performed by a method in which the overall rate of consumption frequency is converted into a score. Results: Children of higher income families and mothers with better education level (control group showed the highest median of consumption scores for fruits and vegetables (p<0.01 and meat, offal, and eggs (p<0.01, when compared with children of the case group. On the other hand, the median of consumption scores of manufactured goods was higher among children in the case group (p<0.01. Conclusions: Maternal socioeconomic status influenced the quality of food offered to the infant. In the case group, children up to 24 months already consumed industrial products instead of healthy foods on their menu.

  5. Childhood socioeconomic position and adult leisure-time physical activity: a systematic review protocol.

    Science.gov (United States)

    Elhakeem, Ahmed; Cooper, Rachel; Bann, David; Hardy, Rebecca

    2014-12-05

    Participation in leisure-time physical activity benefits health and is thought to be more prevalent in higher socioeconomic groups. Evidence indicates that childhood socioeconomic circumstances may have long-term influences on adult health and behaviour; however, it is unclear if this extends to an influence on adult physical activity. The aim of this review is to examine whether a lower childhood socioeconomic position is associated with lower levels of leisure-time physical activity during adulthood. Keywords will be used to systematically search five online databases and additional studies will be located through a search of reference lists. At least two researchers working independently will screen search results assess the quality of included studies and extract all relevant data. Studies will be included if they are English language publications that test the association between at least one indicator of childhood socioeconomic position and a leisure-time physical activity outcome measured during adulthood. Any disagreements and discrepancies arising during the conduct of the study will be resolved through discussion. This study will address the gap in evidence by systematically reviewing the published literature to establish whether childhood socioeconomic position is related to adult participation in leisure-time physical activity. The findings may be used to inform future research and policy. PROSPERO CRD42014007063.

  6. Socioeconomic and clinical factors associated with traumatic dental injuries in Brazilian preschool children

    Directory of Open Access Journals (Sweden)

    Chaiana Piovesan

    2012-10-01

    Full Text Available The aim of this paper was to assess the epidemiology of traumatic dental injury (TDI in preschool children and its relation to socioeconomic and clinical factors. This study was carried out in Santa Maria, Brazil, during National Children's Vaccination Day, and 441 children aged 12 to 59 months were included. Data about socioeconomic status were collected through a semi-structured questionnaire administered to parents. Calibrated examiners evaluated the prevalence of TDI, overjet, and lip coverage. Data were analyzed with a Poisson regression model (PR; 95% confidence intervals. The TDI prevalence was 31.7%. The maxillary central incisors were the most frequently traumatized teeth. The most common TDI was enamel fracture. No association was found between TDI prevalence and the socioeconomic status of children. After adjustments were performed, the eldest children with an overjet > 3 mm were more likely to have TDI than their counterparts. The data indicated a high prevalence of TDI. Only overjet was a strong predictor for TDI, whereas socioeconomic factors were not associated with TDI in this age group.

  7. Socioeconomic differences in children’s television viewing trajectory: A population-based prospective cohort study

    Science.gov (United States)

    van Grieken, Amy; Moll, Henriëtte A.; Jaddoe, Vincent W. V.; Wijtzes, Anne I.; Raat, Hein

    2017-01-01

    We aimed to evaluate the association between family socioeconomic status and repeatedly measured child television viewing time from early childhood to the school period. We analyzed data on 3,561 Dutch children from the Generation R Study, a population-based study in the Netherlands. Parent-reported television viewing time for children aged 2, 3, 4, 6 and 9 years were collected by questionnaires sent from April 2004 until January 2015. Odds ratios of watching television ≥1 hour/day at each age were calculated for children of mothers with low, mid-low, mid-high and high (reference group) education and children from low, middle and high (reference group) income households. A generalized logistic mixed model was used to assess the association between family socioeconomic status and child television viewing time trajectory. The percentage of children watching television ≥1 hour/day increased from age 2 to 9 years for all children (24.2%-85.0% for children of low-educated mothers; 4.7%-61.4% for children of high-educated mothers; 17.2%-74.9% for children from low income households; 6.2%-65.1% for children from high income households). Independent socioeconomic effect in child television viewing time was found for maternal educational level. The interaction between net household income and child age in longitudinal analyses was significant (p = 0.01), indicating that the television viewing time trajectories were different in household income subgroups. However the interaction between maternal educational level and child age was not significant (p = 0.19). Inverse socioeconomic gradients in child television viewing time were found from the preschool period to the late school period. The educational differences between the various educational subgroups remained stable with increasing age, but the differences between household income groups changed over time. Intervention developers and healthcare practitioners need to raise awareness among non-highly educated parents

  8. Social Support and Socioeconomic Status Predict Secondary Students' Grades and Educational Plans Indifferently across Immigrant Group and Gender

    Science.gov (United States)

    Ulriksen, Robin; Sagatun, Åse; Zachrisson, Henrik Daae; Waaktaar, Trine; Lervåg, Arne Ola

    2015-01-01

    Social support and socioeconomic status (SES) have received considerable attention in explaining academic achievement and the achievement gap between students with ethic majority and immigrant background, and between boys and girls. Using a Structural Equation Modeling approach we examine (1) if there exist a gap in school achievements between…

  9. Parental Socioeconomic Status or IQ? An Exploration of Major Determinants of U.S. Poverty

    OpenAIRE

    Smith, Dillon Montgomery

    2018-01-01

    The Bell Curve by Charles Murray and Richard Herrnstein is one of the most controversial academic works of the last few decades. Using data from the National Longitudinal Survey of Youths (1979), we performed a number of regressions of poverty status in 1989 on parental socioeconomic status, IQ, race, sex, and age. We replicate their results which show that IQ is a more important predictor of poverty status than parental socioeconomic status (SES). We extend their analysis to other groupings ...

  10. Modelled health benefits of a sugar-sweetened beverage tax across different socioeconomic groups in Australia: A cost-effectiveness and equity analysis.

    Science.gov (United States)

    Lal, Anita; Mantilla-Herrera, Ana Maria; Veerman, Lennert; Backholer, Kathryn; Sacks, Gary; Moodie, Marjory; Siahpush, Mohammad; Carter, Rob; Peeters, Anna

    2017-06-01

    A sugar-sweetened beverage (SSB) tax in Mexico has been effective in reducing consumption of SSBs, with larger decreases for low-income households. The health and financial effects across socioeconomic groups are important considerations for policy-makers. From a societal perspective, we assessed the potential cost-effectiveness, health gains, and financial impacts by socioeconomic position (SEP) of a 20% SSB tax for Australia. Australia-specific price elasticities were used to predict decreases in SSB consumption for each Socio-Economic Indexes for Areas (SEIFA) quintile. Changes in body mass index (BMI) were based on SSB consumption, BMI from the Australian Health Survey 2011-12, and energy balance equations. Markov cohort models were used to estimate the health impact for the Australian population, taking into account obesity-related diseases. Health-adjusted life years (HALYs) gained, healthcare costs saved, and out-of-pocket costs were estimated for each SEIFA quintile. Loss of economic welfare was calculated as the amount of deadweight loss in excess of taxation revenue. A 20% SSB tax would lead to HALY gains of 175,300 (95% CI: 68,700; 277,800) and healthcare cost savings of AU$1,733 million (m) (95% CI: $650m; $2,744m) over the lifetime of the population, with 49.5% of the total health gains accruing to the 2 lowest quintiles. We estimated the increase in annual expenditure on SSBs to be AU$35.40/capita (0.54% of expenditure on food and non-alcoholic drinks) in the lowest SEIFA quintile, a difference of AU$3.80/capita (0.32%) compared to the highest quintile. Annual tax revenue was estimated at AU$642.9m (95% CI: $348.2m; $1,117.2m). The main limitations of this study, as with all simulation models, is that the results represent only the best estimate of a potential effect in the absence of stronger direct evidence. This study demonstrates that from a 20% tax on SSBs, the most HALYs gained and healthcare costs saved would accrue to the most disadvantaged

  11. Modelled health benefits of a sugar-sweetened beverage tax across different socioeconomic groups in Australia: A cost-effectiveness and equity analysis

    Science.gov (United States)

    Mantilla-Herrera, Ana Maria; Veerman, Lennert; Backholer, Kathryn; Moodie, Marjory; Siahpush, Mohammad; Carter, Rob; Peeters, Anna

    2017-01-01

    Background A sugar-sweetened beverage (SSB) tax in Mexico has been effective in reducing consumption of SSBs, with larger decreases for low-income households. The health and financial effects across socioeconomic groups are important considerations for policy-makers. From a societal perspective, we assessed the potential cost-effectiveness, health gains, and financial impacts by socioeconomic position (SEP) of a 20% SSB tax for Australia. Methods and findings Australia-specific price elasticities were used to predict decreases in SSB consumption for each Socio-Economic Indexes for Areas (SEIFA) quintile. Changes in body mass index (BMI) were based on SSB consumption, BMI from the Australian Health Survey 2011–12, and energy balance equations. Markov cohort models were used to estimate the health impact for the Australian population, taking into account obesity-related diseases. Health-adjusted life years (HALYs) gained, healthcare costs saved, and out-of-pocket costs were estimated for each SEIFA quintile. Loss of economic welfare was calculated as the amount of deadweight loss in excess of taxation revenue. A 20% SSB tax would lead to HALY gains of 175,300 (95% CI: 68,700; 277,800) and healthcare cost savings of AU$1,733 million (m) (95% CI: $650m; $2,744m) over the lifetime of the population, with 49.5% of the total health gains accruing to the 2 lowest quintiles. We estimated the increase in annual expenditure on SSBs to be AU$35.40/capita (0.54% of expenditure on food and non-alcoholic drinks) in the lowest SEIFA quintile, a difference of AU$3.80/capita (0.32%) compared to the highest quintile. Annual tax revenue was estimated at AU$642.9m (95% CI: $348.2m; $1,117.2m). The main limitations of this study, as with all simulation models, is that the results represent only the best estimate of a potential effect in the absence of stronger direct evidence. Conclusions This study demonstrates that from a 20% tax on SSBs, the most HALYs gained and healthcare costs

  12. Pain in diagnostic hysteroscopy: a multivariate analysis after a randomized, controlled trial.

    Science.gov (United States)

    Mazzon, Ivan; Favilli, Alessandro; Grasso, Mario; Horvath, Stefano; Bini, Vittorio; Di Renzo, Gian Carlo; Gerli, Sandro

    2014-11-01

    To study which variables are able to influence women's experience of pain during diagnostic hysteroscopy. Multivariate analysis (phase II) after a randomized, controlled trial (phase I). Endoscopic gynecologic center. In phase I, 392 patients were analyzed. Group A: 197 women with carbon dioxide (CO2); group B: 195 women with normal saline. In phase II, 392 patients were assigned to two different groups according to their pain experience as measured by a visual analogue scale (VAS): group VAS>3 (170 patients); group VAS≤3 (222 patients). Free-anesthesia diagnostic hysteroscopy performed using CO2 or normal saline as distension media. Procedure time, VAS score, image quality, and side effects during and after diagnostic hysteroscopy. In phase I the median pain score in group A was 2, whereas in group B it was 3. In phase II the duration of the procedure, nulliparity, and the use of normal saline were significantly correlated with VAS>3. A higher presence of cervical synechiae was observed in the group VAS>3. The multivariate analysis revealed an inverse correlation between parity and a VAS>3, whereas the use of normal saline, the presence of synechiae in the cervical canal, and the duration of the hysteroscopy were all directly correlated to a VAS score>3. Pain in hysteroscopy is significantly related to the presence of cervical synechiae, to the duration of the procedure, and to the use of normal saline; conversely, parity seems to have a protective role. NCT01873391. Copyright © 2014 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

  13. Soy Expansion and Socioeconomic Development in Municipalities of Brazil

    Directory of Open Access Journals (Sweden)

    Luiz Antonio Martinelli

    2017-09-01

    Full Text Available Soy occupies the largest area of agricultural land in Brazil, spreading from southern states to the Amazon region. Soy is also the most important agricultural commodity among Brazilian exports affecting food security and land use nationally and internationally. Here we pose the question of whether soy expansion affects only economic growth or whether it also boosts socioeconomic development, fostering education and health improvements in Brazilian municipalities where it is planted. To achieve this objective, we divided more than 5000 municipalities into two groups: those with >300 ha of soy (soy municipalities and those with <300 ha of soy (non-soy municipalities. We compared the Human Development Index (HDI and the Gini coefficient for income for these two groups of municipalities in 1991, 2000, and 2010. We made such comparison at the municipality level for the whole country, but we also grouped the municipalities by major geographical regions and states. We found that the HDI was higher in soy municipalities, especially in the agricultural frontier. That effect was not so clear in more consolidated agricultural regions of the country. Soy municipalities also had a higher Gini coefficient for income than non-soy municipalities. We concluded that soy could be considered a precursor of socioeconomic development under certain conditions; however, it also tends to be associated with an increase in income inequality, especially in the agricultural frontier.

  14. Genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers

    Directory of Open Access Journals (Sweden)

    Lígia Regina Lima Gouvêa

    2010-01-01

    Full Text Available Genetic diversity of 60 Hevea genotypes, consisting of Asiatic, Amazonian, African and IAC clones, and pertaining to the genetic breeding program of the Agronomic Institute (IAC, Brazil, was estimated. Analyses were based on phenotypic multivariate parameters and microsatellites. Five agronomic descriptors were employed in multivariate procedures, such as Standard Euclidian Distance, Tocher clustering and principal component analysis. Genetic variability among the genotypes was estimated with 68 selected polymorphic SSRs, by way of Modified Rogers Genetic Distance and UPGMA clustering. Structure software in a Bayesian approach was used in discriminating among groups. Genetic diversity was estimated through Nei's statistics. The genotypes were clustered into 12 groups according to the Tocher method, while the molecular analysis identified six groups. In the phenotypic and microsatellite analyses, the Amazonian and IAC genotypes were distributed in several groups, whereas the Asiatic were in only a few. Observed heterozygosity ranged from 0.05 to 0.96. Both high total diversity (H T' = 0.58 and high gene differentiation (Gst' = 0.61 were observed, and indicated high genetic variation among the 60 genotypes, which may be useful for breeding programs. The analyzed agronomic parameters and SSRs markers were effective in assessing genetic diversity among Hevea genotypes, besides proving to be useful for characterizing genetic variability.

  15. Socioeconomic, remoteness and sex differences in life expectancy in New South Wales, Australia, 2001-2012: a population-based study.

    Science.gov (United States)

    Stephens, Alexandre S; Gupta, Leena; Thackway, Sarah; Broome, Richard A

    2017-01-10

    Despite being one of the healthiest countries in the world, Australia displays substantial mortality differentials by socioeconomic disadvantage, remoteness and sex. In this study, we examined how these mortality differentials translated to differences in life expectancy between 2001 and 2012. Population-based study using mortality and estimated residential population data from Australia's largest state, New South Wales (NSW), between 2001 and 2012. Age-group-specific death rates by socioeconomic disadvantage quintile, remoteness (major cities vs regional and remote areas), sex and year were estimated via Poisson regression, and inputted into life table calculations to estimate life expectancy. Life expectancy decreased with increasing socioeconomic disadvantage in males and females. The disparity between the most and least socioeconomically deprived quintiles was 3.77 years in males and 2.39 years in females in 2012. Differences in life expectancy by socioeconomic disadvantage were mostly stable over time. Gender gaps in life expectancy ranged from 3.50 to 4.93 years (in 2012), increased with increasing socioeconomic disadvantage and decreased by ∼1 year for all quintiles between 2001 and 2012. Overall, life expectancy varied little by remoteness, but was 1.8 years higher in major cities compared to regional/remote areas in the most socioeconomically deprived regions in 2012. Socioeconomic disadvantage and sex were strongly associated with life expectancy. The disparity in life expectancy across the socioeconomic spectrum was larger in males and was stable over time. In contrast, gender gaps reduced for all quintiles between 2001 and 2012, and a remoteness effect was evident in 2012, but only for those living in the most deprived areas. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  16. An ecology of prestige in New York City: examining the relationships among population density, socio-economic status, group identity, and residential canopy cover.

    Science.gov (United States)

    Grove, J Morgan; Locke, Dexter H; O'Neil-Dunne, Jarlath P M

    2014-09-01

    Several social theories have been proposed to explain the uneven distribution of vegetation in urban residential areas: population density, social stratification, luxury effect, and ecology of prestige. We evaluate these theories using a combination of demographic and socio-economic predictors of vegetative cover on all residential lands in New York City. We use diverse data sources including the City's property database, time-series demographic and socio-economic data from the US Census, and land cover data from the University of Vermont's Spatial Analysis Lab (SAL). These data are analyzed using a multi-model inferential, spatial econometrics approach. We also examine the distribution of vegetation within distinct market categories using Claritas' Potential Rating Index for Zipcode Markets (PRIZM™) database. These categories can be disaggregated, corresponding to the four social theories. We compare the econometric and categorical results for validation. Models associated with ecology of prestige theory are more effective for predicting the distribution of vegetation. This suggests that private, residential patterns of vegetation, reflecting the consumption of environmentally relevant goods and services, are associated with different lifestyles and lifestages. Further, our spatial and temporal analyses suggest that there are significant spatial and temporal dependencies that have theoretical and methodological implications for understanding urban ecological systems. These findings may have policy implications. Decision makers may need to consider how to most effectively reach different social groups in terms of messages and messengers in order to advance land management practices and achieve urban sustainability.

  17. An Ecology of Prestige in New York City: Examining the Relationships Among Population Density, Socio-economic Status, Group Identity, and Residential Canopy Cover

    Science.gov (United States)

    Grove, J. Morgan; Locke, Dexter H.; O'Neil-Dunne, Jarlath P. M.

    2014-09-01

    Several social theories have been proposed to explain the uneven distribution of vegetation in urban residential areas: population density, social stratification, luxury effect, and ecology of prestige. We evaluate these theories using a combination of demographic and socio-economic predictors of vegetative cover on all residential lands in New York City. We use diverse data sources including the City's property database, time-series demographic and socio-economic data from the US Census, and land cover data from the University of Vermont's Spatial Analysis Lab (SAL). These data are analyzed using a multi-model inferential, spatial econometrics approach. We also examine the distribution of vegetation within distinct market categories using Claritas' Potential Rating Index for Zipcode Markets (PRIZM™) database. These categories can be disaggregated, corresponding to the four social theories. We compare the econometric and categorical results for validation. Models associated with ecology of prestige theory are more effective for predicting the distribution of vegetation. This suggests that private, residential patterns of vegetation, reflecting the consumption of environmentally relevant goods and services, are associated with different lifestyles and lifestages. Further, our spatial and temporal analyses suggest that there are significant spatial and temporal dependencies that have theoretical and methodological implications for understanding urban ecological systems. These findings may have policy implications. Decision makers may need to consider how to most effectively reach different social groups in terms of messages and messengers in order to advance land management practices and achieve urban sustainability.

  18. Classification of Specialized Farms Applying Multivariate Statistical Methods

    Directory of Open Access Journals (Sweden)

    Zuzana Hloušková

    2017-01-01

    Full Text Available Classification of specialized farms applying multivariate statistical methods The paper is aimed at application of advanced multivariate statistical methods when classifying cattle breeding farming enterprises by their economic size. Advantage of the model is its ability to use a few selected indicators compared to the complex methodology of current classification model that requires knowledge of detailed structure of the herd turnover and structure of cultivated crops. Output of the paper is intended to be applied within farm structure research focused on future development of Czech agriculture. As data source, the farming enterprises database for 2014 has been used, from the FADN CZ system. The predictive model proposed exploits knowledge of actual size classes of the farms tested. Outcomes of the linear discriminatory analysis multifactor classification method have supported the chance of filing farming enterprises in the group of Small farms (98 % filed correctly, and the Large and Very Large enterprises (100 % filed correctly. The Medium Size farms have been correctly filed at 58.11 % only. Partial shortages of the process presented have been found when discriminating Medium and Small farms.

  19. Socioeconomics of long-term glaucoma therapy in India

    Directory of Open Access Journals (Sweden)

    Bhagabat Nayak

    2015-01-01

    Full Text Available Purpose: To determine the socioeconomic impact of long-term glaucoma therapy. Materials and Methods: One hundred and fifty consecutive glaucoma patients on medical therapy, following up at our glaucoma service for at least 6 months were recruited. A questionnaire regarding monthly income, cost of glaucoma medications prescribed, availability of medications, travel time, time spent in review clinics, compliance, education status, medical insurance and systemic or local side-effects was administered. Results: The patients seen at the tertiary government hospital had an average monthly income of Rs. 10,912/- (range: Rs. 500/- to Rs. 50,000/- with approximately 56% of the patients having an income of less than Rs. 5000/month. The expenditure on anti-glaucoma medications ranged from 0.3% in high income group to 123% of their monthly gross income in low income group (P < 0.0001. The total expenditure including travel, stay, and loss of wages of patients and accompanying persons ranged from 1.6% in high income group to 137% of the monthly income in low income group (P < 0.0001. Mean time required for a glaucoma clinic visit was 15.66 h, (range: 6-96 h/month. About 2.7% experienced systemic side-effects and 21.3% had complaints of ocular adverse effects. About 90% of the patients were compliant. 92% were not covered by any insurance plan/government reimbursement for their treatment. Conclusions: Medical therapy for glaucoma is an economic burden to many patients and should be individualized, according to the socioeconomic status, availability of drugs and the required distance to travel to reach the specialist clinics.

  20. Disentangling effects of socioeconomic status on obesity: A cross-sectional study of the Spanish adult population.

    Science.gov (United States)

    Merino Ventosa, María; Urbanos-Garrido, Rosa M Maria Merino Ven Gmail Com

    2016-09-01

    This paper complements previous estimations regarding socioeconomic inequalities in obesity for Spanish adults, and provides new evidence about the mechanisms through which socioeconomic status (SES) affects obesity. Microdata from the Spanish National Health Survey (SNHS) 2011-2012 are analysed. Corrected concentration indices (CCI) are calculated to measure inequality. Path analysis is employed to disentangle direct and indirect effects of SES on obesity, where dietary patterns, physical activity and sleep habits act as mediator variables. Multivariate logistic models are used to select those exogenous variables to be included in the path diagram. Men and women are analysed separately. Our results show significant pro-rich inequality in the distribution of obesity (the poorer the more obese), particularly for women (CCI=-0.070 for men, CCI=-0.079 for women). The indirect effects of SES on obesity (those transmitted via mediator variables) are quite modest (3.3% for males, 2.4% for females) due to three reasons. Firstly, dietary habits do not show a significant mediating effect. Secondly, the mediating effect of physical activity in leisure time, although significant (14% for males, 11.1% for females), is offset by that related to main activity. Finally, sleep habits contribution to total effect of SES on obesity is statistically significant but small (roughly 1%). Our results indicate that promoting physical activity in leisure time for those with a low SES, particularly for men, would contribute to prevent obesity and to reduce health inequalities. Promotion of adequate sleep habits for women with a low SES might have a similar effect. However, interventions aimed to reduce sedentarism related to main activity, although useful to prevent obesity, would amplify the obesity socioeconomic gradient. Since effects of SES are different for men and women, socioeconomic health inequalities should be addressed also from a gender perspective. Copyright © 2016 Elsevier B

  1. Energy expenditure and socioeconomic status in Guatemala as measured by the doubly labelled water method

    International Nuclear Information System (INIS)

    Stein, T.P.; Johnston, F.E.; Greiner, L.

    1988-01-01

    The energy expenditure of lower (group 1) and upper socioeconomic group females (group 2) from a marginal community in Guatemala City was determined by using the doubly labelled water method. Energy expenditure values were 1925 +/- 66 (mean, SEM) kcal/d (group 1) and 2253 +/- 145 kcal/d group 2 (p less than 0.03). About half of this difference can be attributed to size

  2. Socioeconomic Site Study Plan: Draft

    International Nuclear Information System (INIS)

    1987-07-01

    Social and economic issues and concerns of the Deak Smith County site area will be evaluated during site characterization. Effects that the area could experience from a repository project include demographic, economic, community service, fiscal, and social impacts. The Socioeconomic Site Study Plan is designed to provide a strategy to assess the potential for those impacts. The Socioeconomic Site Study Plan is structured to provide an overview of the socioeconomic program requirements, objectives, and activities to be conducted during site characterization. This report will describe the study design and its rationale; data collection, management, and reporting; program schedules and milestones; site study organization and management; and quality assurance issues. 43 refs

  3. Multivariate and semiparametric kernel regression

    OpenAIRE

    Härdle, Wolfgang; Müller, Marlene

    1997-01-01

    The paper gives an introduction to theory and application of multivariate and semiparametric kernel smoothing. Multivariate nonparametric density estimation is an often used pilot tool for examining the structure of data. Regression smoothing helps in investigating the association between covariates and responses. We concentrate on kernel smoothing using local polynomial fitting which includes the Nadaraya-Watson estimator. Some theory on the asymptotic behavior and bandwidth selection is pro...

  4. Effort-Reward Imbalance at School and Depressive Symptoms in Chinese Adolescents: The Role of Family Socioeconomic Status

    Directory of Open Access Journals (Sweden)

    Hongxiang Guo

    2014-06-01

    Full Text Available Depression is a major mental health problem during adolescence. This study, using a sample of Chinese adolescents, examined the separate and combined effects of perceived school-related stress and of family socioeconomic status (SES on the prevalence of depressive symptoms. A total of 1774 Chinese students from Grades 7–12 were recruited into our questionnaire survey. School-related stress was measured by the Effort-Reward Imbalance Questionnaire-School Version, family SES was assessed by a standardized question, and depressive symptoms were evaluated by the Center for Epidemiological Studies Depression Scale for Children. Multivariate logistic regression was applied, adjusting for age, gender, grade, smoking, alcohol drinking and physical activity. It was found that high school-related stress and low family SES were associated with elevated odds of depressive symptoms, respectively. The effect of school-related stress was particularly strong in low SES group. In adolescents with both high stress at school and low SES, the odds ratio was 9.18 (95% confidence interval = 6.53–12.89 compared to the reference group (low stress at school and high SES. A significant synergistic interaction effect was observed (synergy index = 2.28, 95% confidence interval = 1.56–3.32. The findings indicated that perceived school-related stress, in terms of effort-reward imbalance, was related to depressive symptoms in this sample of Chinese adolescents. The strong interaction with family SES suggests that health promoting efforts in school settings should be targeted specifically at these socially deprived groups.

  5. Impact of socioeconomic deprivation on rate and cause of death in severe mental illness.

    Science.gov (United States)

    Martin, Julie Langan; McLean, Gary; Park, John; Martin, Daniel J; Connolly, Moira; Mercer, Stewart W; Smith, Daniel J

    2014-09-12

    Socioeconomic status has important associations with disease-specific mortality in the general population. Although individuals with Severe Mental Illnesses (SMI) experience significant premature mortality, the relationship between socioeconomic status and mortality in this group remains under investigated. We aimed to assess the impact of socioeconomic status on rate and cause of death in individuals with SMI (schizophrenia and bipolar disorder) relative to the local (Glasgow) and wider (Scottish) populations. Cause and age of death during 2006-2010 inclusive for individuals with schizophrenia or bipolar disorder registered on the Glasgow Psychosis Clinical Information System (PsyCIS) were obtained by linkage to the Scottish General Register Office (GRO). Rate and cause of death by socioeconomic status, measured by Scottish Index of Multiple Deprivation (SIMD), were compared to the Glasgow and Scottish populations. Death rates were higher in people with SMI across all socioeconomic quintiles compared to the Glasgow and Scottish populations, and persisted when suicide was excluded. Differences were largest in the most deprived quintile (794.6 per 10,000 population vs. 274.7 and 252.4 for Glasgow and Scotland respectively). Cause of death varied by socioeconomic status. For those living in the most deprived quintile, higher drug-related deaths occurred in those with SMI compared to local Glasgow and wider Scottish population rates (12.3% vs. 5.9%, p = socioeconomic quintiles compared to the Glasgow and Scottish populations but was most marked in the most deprived quintiles when suicide was excluded as a cause of death. Further work assessing the impact of socioeconomic status on specific causes of premature mortality in SMI is needed.

  6. Socioeconomic inequalities in health in the context of multimorbidity: A Korean panel study.

    Directory of Open Access Journals (Sweden)

    Myung Ki

    Full Text Available Socioeconomic inequalities in health are commonly known to decrease at late age. Yet, it remains unclear whether socioeconomic inequalities in health at late age appear in relation to multimorbidity, particularly in Korea where social support remains unsatisfactory for older people. Using three waves of Korea Health Panel, data of 19,942 observations with repeated measure were constructed to ensure a temporal sequence between three socioeconomic measures (i.e., poverty, employment status, and education and multimorbidity with a t to t+1 year transition. A multilevel multinomial model was applied to quantify the socioeconomic impact across different age, diseases and disease groups, both separately and in combination. There were associations between socioeconomic position (SEP and multimorbidity, and increasing trends of socioeconomic inequalities not only with greater number of morbidity but also with age. The latter result was only observed with employment status through mid-to-early old age; i.e., between the 40s (odds ratio (OR = 2.45, 95% confidence interval (CI:1.08-5.57 and 70s (OR = 3.48, 95%CI: 1.24-9.74. The patterns of socioeconomic inequalities in multimorbidity varied for particular pairs of diseases and were stronger in the disease pairs co-occurring with mental and cardiovascular diseases but weaker in the disease pairs co-occurring with cancer. Accumulation of adversity tended to intensify with increase in number of diseases and older age, though this finding was not consistently supported. The labour market should be encouraged to actively participate in actions to promote healthy aging needs to be complemented by the provision of more generous and universal income support to the elderly in Korea.

  7. Is grand multiparity a risk factor for osteoporosis in postmenopausal women of lower socioeconomic status?

    Science.gov (United States)

    Demirtaş, Ö; Demirtaş, G; Hurşitoğlu, B S; Terzi, H; Şekerci, Z; Ök, N

    2014-01-01

    We aimed to determine whether grand multiparity is a risk factor for osteoporosis among postmenopausal women of lower socioeconomic status. We conducted a single center study between February 2012 and February 2013 on 50-60 year old postmenopausal women of lower socioeconomic status without a history of medical disease. Women with a body mass index (BMI) between 20 and 25 were included in the study. The grand multiparous group (group A) consisted of 38 women with 10 or more deliveries. Women with a history of three or fewer deliveries composed the control group (group B). Dual-energy x-ray absorptiometry was used to measure the bone mineral density (BMD) of the proximal femur neck and lumbar spine (L1-L4). The mean ages of groups A and B were found to be 54.3 ± 2.5 and 53.1 ± 2.7 years, respectively. Average parity in groups A and B was 11.1 ± 1.7 and 2.4 ± 0.7, respectively. Time since the onset of menopause was 3.6 ± 2.7 years in group A and 6.0 ± 2.9 in group B. The prevalence of osteoporosis was similar in both groups (71.1%-81.4%, p = 0.273). We found that grand multiparity was an ineffective indicator of either femoral or lumbar osteoporosis (p = 0.87 and p = 0.26), but osteoporosis five years after the onset of menopause was found to be significantly higher (p = 0.02). The duration of menopause is an independent risk factor of osteoporosis. However, the number of pregnancies is neither a determinant nor a protective factor for osteoporosis in postmenopausal women coming from a low socioeconomic background.

  8. Socioeconomic inequality in abdominal obesity among older people in Purworejo District, Central Java, Indonesia - a decomposition analysis approach.

    Science.gov (United States)

    Pujilestari, Cahya Utamie; Nyström, Lennarth; Norberg, Margareta; Weinehall, Lars; Hakimi, Mohammad; Ng, Nawi

    2017-12-12

    Obesity has become a global health challenge as its prevalence has increased globally in recent decades. Studies in high-income countries have shown that obesity is more prevalent among the poor. In contrast, obesity is more prevalent among the rich in low- and middle-income countries, hence requiring different focal points to design public health policies in the latter contexts. We examined socioeconomic inequalities in abdominal obesity in Purworejo District, Central Java, Indonesia and identified factors contributing to the inequalities. We utilised data from the WHO-INDEPTH Study on global AGEing and adult health (WHO-INDEPTH SAGE) conducted in the Purworejo Health and Demographic Surveillance System (HDSS) in Purworejo District, Indonesia in 2010. The study included 14,235 individuals aged 50 years and older. Inequalities in abdominal obesity across wealth groups were assessed separately for men and women using concentration indexes. Decomposition analysis was conducted to assess the determinants of socioeconomic inequalities in abdominal obesity. Abdominal obesity was five-fold more prevalent among women than in men (30% vs. 6.1%; p < 0.001). The concentration index (CI) analysis showed that socioeconomic inequalities in abdominal obesity were less prominent among women (CI = 0.26, SE = 0.02, p < 0.001) compared to men (CI = 0.49, SE = 0.04, p < 0.001). Decomposition analysis showed that physical labour was the major determinant of socioeconomic inequalities in abdominal obesity among men, explaining 47% of the inequalities, followed by poor socioeconomic status (31%), ≤ 6 years of education (15%) and current smoking (11%). The three major determinants of socioeconomic inequalities in abdominal obesity among women were poor socio-economic status (48%), physical labour (17%) and no formal education (16%). Abdominal obesity was more prevalent among older women in a rural Indonesian setting. Socioeconomic inequality in

  9. A spatiotemporal mixed model to assess the influence of environmental and socioeconomic factors on the incidence of hand, foot and mouth disease

    Directory of Open Access Journals (Sweden)

    Lianfa Li

    2018-02-01

    Full Text Available Abstract Background As a common infectious disease, hand, foot and mouth disease (HFMD is affected by multiple environmental and socioeconomic factors, and its pathogenesis is complex. Furthermore, the transmission of HFMD is characterized by strong spatial clustering and autocorrelation, and the classical statistical approach may be biased without consideration of spatial autocorrelation. In this paper, we propose to embed spatial characteristics into a spatiotemporal additive model to improve HFMD incidence assessment. Methods Using incidence data (6439 samples from 137 monitoring district for Shandong Province, China, along with meteorological, environmental and socioeconomic spatial and spatiotemporal covariate data, we proposed a spatiotemporal mixed model to estimate HFMD incidence. Geo-additive regression was used to model the non-linear effects of the covariates on the incidence risk of HFMD in univariate and multivariate models. Furthermore, the spatial effect was constructed to capture spatial autocorrelation at the sub-regional scale, and clusters (hotspots of high risk were generated using spatiotemporal scanning statistics as a predictor. Linear and non-linear effects were compared to illustrate the usefulness of non-linear associations. Patterns of spatial effects and clusters were explored to illustrate the variation of the HFMD incidence across geographical sub-regions. To validate our approach, 10-fold cross-validation was conducted. Results The results showed that there were significant non-linear associations of the temporal index, spatiotemporal meteorological factors and spatial environmental and socioeconomic factors with HFMD incidence. Furthermore, there were strong spatial autocorrelation and clusters for the HFMD incidence. Spatiotemporal meteorological parameters, the normalized difference vegetation index (NDVI, the temporal index, spatiotemporal clustering and spatial effects played important roles as predictors in

  10. Multivariate GARCH models

    DEFF Research Database (Denmark)

    Silvennoinen, Annastiina; Teräsvirta, Timo

    This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes nonparametric and semiparametric models. Existing specification and misspecification tests are discussed. Finally, there is an empirical example...

  11. Socioeconomic Inequality in mortality using 12-year follow-up data from nationally representative surveys in South Korea.

    Science.gov (United States)

    Khang, Young-Ho; Kim, Hye-Ryun

    2016-03-22

    Investigations into socioeconomic inequalities in mortality have rarely used long-term mortality follow-up data from nationally representative samples in Asian countries. A limited subset of indicators for socioeconomic position was employed in prior studies on socioeconomic inequalities in mortality. We examined socioeconomic inequalities in mortality using follow-up 12-year mortality data from nationally representative samples of South Koreans. A total of 10,137 individuals who took part in the 1998 and 2001 Korea National Health and Nutrition Examination Surveys were linked to mortality data from Statistics Korea. Of those individuals, 1,219 (12.1 %) had died as of December 2012. Cox proportional hazard models were used to estimate the relative risks of mortality according to a wide range of socioeconomic position (SEP) indicators after taking into account primary sampling units, stratification, and sample weights. Our analysis showed strong evidence that individuals with disadvantaged SEP indicators had greater all-cause mortality risks than their counterparts. The magnitude of the association varied according to gender, age group, and specific SEP indicators. Cause-specific analyses using equivalized income quintiles showed that the magnitude of mortality inequalities tended to be greater for cardiovascular disease and external causes than for cancer. Inequalities in mortality exist in every aspect of SEP indicators, both genders, and age groups, and four broad causes of deaths. The South Korean economic development, previously described as effective in both economic growth and relatively equitable income distribution, should be scrutinized regarding its impact on socioeconomic mortality inequalities. Policy measures to reduce inequalities in mortality should be implemented in South Korea.

  12. Alcohol and type 2 diabetes: The role of socioeconomic, lifestyle and psychosocial factors.

    Science.gov (United States)

    Agardh, Emilie E; Lundin, Andreas; Lager, Anton; Allebeck, Peter; Koupil, Ilona; Andreasson, Sven; Östenson, Claes-Göran; Danielsson, Anna-Karin

    2018-05-01

    We investigate (a) alcohol consumption in association with type 2 diabetes, taking heavy episodic drinking (HED), socioeconomic, health and lifestyle, and psychosocial factors into account, and (b) whether a seemingly protective effect of moderate alcohol consumption on type 2 diabetes persists when stratified by occupational position. This population-based longitudinal cohort study comprises 16,223 Swedes aged 18-84 years who answered questionnaires about lifestyle, including alcohol consumption in 2002, and who were followed-up for self-reported or register-based diabetes in 2003-2011. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated in a multivariable-adjusted logistic regression model for all participants and stratified by high and low occupational position. We adjusted for HED, socioeconomic (occupational position, cohabiting status and unemployment), health and lifestyle (body mass index (BMI), blood pressure, smoking, physical inactivity, poor general health, anxiety/depression and psychosocial (low job control and poor social support) characteristics one by one, and the sets of these factors. Moderate consumption was inversely associated with type 2 diabetes after controlling for health and lifestyle (OR=0.47; 95% CI: 0.29-0.79) and psychosocial factors (OR=0.40; 95% CI: 0.22-0.79) when compared to non-drinkers. When adjusting for socioeconomic factors, there was still an inverse but non-significant association (OR=0.59; 95% CI: 0.35-1.00). In those with high occupational position, there was no significant association between moderate consumption and type 2 diabetes after adjusting for socioeconomic (OR=0.67; 95% CI: 0.3-1.52), health and lifestyle (OR=0.70; 95% CI: 0.32-1.5), and psychosocial factors (OR=0.75; 95% CI: 0.23-2.46). On the contrary, in those with low occupational position, ORs decreased from 0.55 (95% CI: 0.28-1.1) to 0.35 (95% CI: 0.15-0.82) when adjusting for psychosocial factors, a decrease that was solely due to low

  13. Radioactive waste isolation in salt: peer review of Office of Nuclear Waste Isolation's Socioeconomic Program Plan

    International Nuclear Information System (INIS)

    Winter, R.; Fenster, D.; O'Hare, M.; Zillman, D.; Harrison, W.; Tisue, M.

    1984-07-01

    The following recommendations have been abstracted from the body of this report. The Office of Nuclear Waste Isolation's Socioeconomic Program Plan for the Establishment of Mined Geologic Repositories to Isolate Nuclear Waste should be modified to: (1) encourage active public participation in the decision-making processes leading to repository site selection; (2) clearly define mechanisms for incorporating the concerns of local residents, state and local governments, and other potentially interested parties into the early stages of the site selection process. In addition, the Office of Nuclear Waste Isolation should carefully review the overall role that these persons and groups, including local pressure groups organized in the face of potential repository development, will play in the siting process; (3) place significantly greater emphasis on using primary socioeconomic data during the site selection process, reversing the current overemphasis on secondary data collection, description of socioeconomic conditions at potential locations, and development of analytical methodologies; (4) include additional approaches to solving socioeconomic problems. For example, a reluctance to acknowledge that solutions to socioeconomic problems need to be found jointly with interested parties is evident in the plan; (5) recognize that mitigation mechanisms other than compensation and incentives may be effective; (6) as soon as potential sites are identified, the US Department of Energy (DOE) should begin discussing impact mitigation agreements with local officials and other interested parties; and (7) comply fully with the pertinent provisions of NWPA

  14. Socioeconomic position and survival after cervical cancer

    DEFF Research Database (Denmark)

    Ibfelt, E H; Kjær, S K; Høgdall, C

    2013-01-01

    In an attempt to decrease social disparities in cancer survival, it is important to consider the mechanisms by which socioeconomic position influences cancer prognosis. We aimed to investigate whether any associations between socioeconomic factors and survival after cervical cancer could...... be explained by socioeconomic differences in cancer stage, comorbidity, lifestyle factors or treatment....

  15. Applied multivariate statistics with R

    CERN Document Server

    Zelterman, Daniel

    2015-01-01

    This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the B...

  16. Multivariate semi-logistic distribution and processes | Umar | Journal ...

    African Journals Online (AJOL)

    Multivariate semi-logistic distribution is introduced and studied. Some characterizations properties of multivariate semi-logistic distribution are presented. First order autoregressive minification processes and its generalization to kth order autoregressive minification processes with multivariate semi-logistic distribution as ...

  17. Explaining public support for space exploration funding in America: A multivariate analysis

    Science.gov (United States)

    Nadeau, François

    2013-05-01

    Recent studies have identified the need to understand what shapes public attitudes toward space policy. I address this gap in the literature by developing a multivariate regression model explaining why many Americans support government spending on space exploration. Using pooled data from the 2006 and 2008 General Social Surveys, the study reveals that spending preferences on space exploration are largely apolitical and associated instead with knowledge and opinions about science. In particular, the odds of wanting to increase funding for space exploration are significantly higher for white, male Babyboomers with a higher socio-economic status, a fondness for organized science, and a post-secondary science education. As such, I argue that public support for NASA's spending epitomizes what Launius termed "Apollo Nostalgia" in American culture. That is, Americans benefitting most from the old social order of the 1960s developed a greater fondness for science that makes them more likely to lament the glory days of space exploration. The article concludes with suggestions for how to elaborate on these findings in future studies.

  18. The importance of socioeconomic factors in symptoms of heartburn.

    Science.gov (United States)

    Navarro-Rodríguez, F; Chaves, R C M; Dib, R A; Navarro-Rodríguez, T

    2011-01-01

    Patients' socioeconomic status is rarely assessed during medical consultations. To correlate patients' socioeconomic conditions with symptoms of heartburn. 1184 patients who answered a questionnaire in three cities on the coast of the State of Sä Paulo, Brazil, were evaluated prospectively. Socioeconomic status was assessed using several criteria: number of bathrooms, consumer goods present at home, health conditions at home, comfort (cars and/or home helps), monthly family income and head of household's educational level. 583 patients (49.2%) reported occurrences of heartburn over the 30 days preceding the consultation, with frequencies ranging from five to thirty episodes over this period. Among patients from the city of Guarujá (low socioeconomic condition), 9.7% had never felt heartburn, while 65.7% reported occurrences, reaching statistical significance in relation to patients of medium socioeconomic condition (city of Sä Vicente) (p = 0.012). There was no difference between patients from medium socioeconomic condition and patients from Santos (high socioeconomic condition) (p = 0.997). There was a statistically significant difference in occurrence of heartburn between the patients with high socioeconomic condition and those of low socioeconomic condition (p = 0.002). The least favored socioeconomic status patients, as confirmed according to a variety of socioeconomic factors, presented greater incidence of heartburn than did the most favored social class.

  19. Multivariate Pareto Minification Processes | Umar | Journal of the ...

    African Journals Online (AJOL)

    Autoregressive (AR) and autoregressive moving average (ARMA) processes with multivariate exponential (ME) distribution are presented and discussed. The theory of positive dependence is used to show that in many cases, multivariate exponential autoregressive (MEAR) and multivariate autoregressive moving average ...

  20. [Helicobacter pylori infection in children and socio-economic factors].

    Science.gov (United States)

    Maciorkowska, Elzbieta; Cieśla, Justyna Maria; Kaczmarski, Maciej

    2006-01-01

    The aim of the study was to find a correlation between the presence of Helicobacter pylori infection in children and their accommodation and socio-economic conditions. The results of questionnaire studies were analyzed and levels of IgG specific antibodies against H. pylori were assessed in children randomly chosen in the north-east of Poland at the level of a district, county and province city. The incidence of H. pylori infection in the studied children was varied and depended on the living place. The highest percentage of the infected was revealed in a district (40.4%) and the lowest in a province city (19.0%). There was a correlation between H. pylori infection and socio-economic conditions. The highest percentage of the infected children (59.7%) was found in families whose income was within the first income tax group. The incidence of the infection was also determined by the type of a flat, the number of members in a family, water intake and personal hygiene. 1) the highest incidence of H. pylori infection in children was found in a county, the lowest in a province city. 2) environmental and socio-economic conditions influence the presence of H. pylori infection in children.

  1. Spatial Distribution of Dengue in a Brazilian Urban Slum Setting: Role of Socioeconomic Gradient in Disease Risk.

    Science.gov (United States)

    Kikuti, Mariana; Cunha, Geraldo M; Paploski, Igor A D; Kasper, Amelia M; Silva, Monaise M O; Tavares, Aline S; Cruz, Jaqueline S; Queiroz, Tássia L; Rodrigues, Moreno S; Santana, Perla M; Lima, Helena C A V; Calcagno, Juan; Takahashi, Daniele; Gonçalves, André H O; Araújo, Josélio M G; Gauthier, Kristine; Diuk-Wasser, Maria A; Kitron, Uriel; Ko, Albert I; Reis, Mitermayer G; Ribeiro, Guilherme S

    2015-01-01

    Few studies of dengue have shown group-level associations between demographic, socioeconomic, or geographic characteristics and the spatial distribution of dengue within small urban areas. This study aimed to examine whether specific characteristics of an urban slum community were associated with the risk of dengue disease. From 01/2009 to 12/2010, we conducted enhanced, community-based surveillance in the only public emergency unit in a slum in Salvador, Brazil to identify acute febrile illness (AFI) patients with laboratory evidence of dengue infection. Patient households were geocoded within census tracts (CTs). Demographic, socioeconomic, and geographical data were obtained from the 2010 national census. Associations between CTs characteristics and the spatial risk of both dengue and non-dengue AFI were assessed by Poisson log-normal and conditional auto-regressive models (CAR). We identified 651 (22.0%) dengue cases among 2,962 AFI patients. Estimated risk of symptomatic dengue was 21.3 and 70.2 cases per 10,000 inhabitants in 2009 and 2010, respectively. All the four dengue serotypes were identified, but DENV2 predominated (DENV1: 8.1%; DENV2: 90.7%; DENV3: 0.4%; DENV4: 0.8%). Multivariable CAR regression analysis showed increased dengue risk in CTs with poorer inhabitants (RR: 1.02 for each percent increase in the frequency of families earning ≤1 times the minimum wage; 95% CI: 1.01-1.04), and decreased risk in CTs located farther from the health unit (RR: 0.87 for each 100 meter increase; 95% CI: 0.80-0.94). The same CTs characteristics were also associated with non-dengue AFI risk. This study highlights the large burden of symptomatic dengue on individuals living in urban slums in Brazil. Lower neighborhood socioeconomic status was independently associated with increased risk of dengue, indicating that within slum communities with high levels of absolute poverty, factors associated with the social gradient influence dengue transmission. In addition, poor

  2. Association of Socio-economic Status with Injuries in Children Andadolescents:the CASPIAN-IV Study

    Directory of Open Access Journals (Sweden)

    Roya Kelishadi

    2016-05-01

    Full Text Available Background:Childhood and adolescence injuries are still frequently occuring in developing countries. This study aims to assess the association  of socio-economic status (SES with injuriesin Iranian children and adolescents. Materials and Methods: This multicentricsurvey was part of a national surveillance program, which was conducted in 2011-2012 amongst 14,880 students aged6-18 years. Participants were randomly selected from urban and rural areas of 30 provinces in Iran. Socio- economic status (SES of participants was categorized to “low”, “middle” ,and “high” by using principle component analysis method by considering parental job and education as well as family assets. Prevalence, types and places of injuries were based on the questionnaire of the World Health Organization- Global School-based student Health Survey (WHO-GSHS.Multivariate modelwas used for comparison of variables between SES groups. Results: Overall, 13486 out of 14880 invited students (response rate: 90.6% participated in this study.Their mean (SD age was12.47 (3.36 years.Boys and urban residents constituted the majority of participants (50.8% and 75.6%, respectively. Compared with low SES group, oddsof sport injury was higher in students with middle (OR=1.44; 95%CI: 0.92-2.26 and highSES (OR=1.96; 95%CI: 1.27-3.01. Compared to participants withlow SES,odds of home injuries was significantly lower in high SES group (OR=0.78; 95%CI: 0.64-0.95. Conclusion: This study revealedconsiderable differences in injuries of children and adolescents according to their SES, with higher prevalence of home injuries in low SES families and higher prevalence of sport injuries in middle and high SES levels. When implementing injury prevention programs, such differences should be taken into account.

  3. Social context of neighborhood and socioeconomic status on leisure-time physical activity in a Brazilian urban center: The BH Health Study.

    Science.gov (United States)

    Andrade, Amanda Cristina de Souza; Peixoto, Sérgio Viana; Friche, Amélia Augusta de Lima; Goston, Janaína Lavalli; César, Cibele Comini; Xavier, César Coelho; Proietti, Fernando Augusto; Diez Roux, Ana V; Caiaffa, Waleska Teixeira

    2015-11-01

    This study aimed to estimate the prevalence of leisure-time physical activity and investigate its association with contextual characteristics of the social and physical environment in different socioeconomic statuses, using a household survey in Belo Horizonte, Minas Gerais State, Brazil (2008-2009). Leisure-time physical activity was measured by the International Physical Activity Questionnaire; and the social and physical environment by scales arising from perception of neighborhood attributes. Multilevel logistic regression analysis was performed separately for each socioeconomic status stratum. The overall prevalence of leisure-time physical activity was 30.2%, being 20.2% amongst participants of low socioeconomic status, 25.4% in the medium and 40.6% in the high socioeconomic status group. A greater perception of social cohesion was associated with increased leisure-time physical activity only amongst participants of the lowest socioeconomic status even after adjusting for individual characteristics. The results demonstrate the importance of social cohesion for the promotion of leisure-time physical activity in economically disadvantaged groups, supporting the need to stimulate interventions for enhancing social relationships in this population.

  4. The impact of socio-economic disadvantage on rates of hospital separations for diabetes-related foot disease in Victoria, Australia

    Directory of Open Access Journals (Sweden)

    Colman Peter G

    2011-06-01

    Full Text Available Abstract Background Information describing variation in health outcomes for individuals with diabetes related foot disease, across socioeconomic strata is lacking. The aim of this study was to investigate variation in rates of hospital separations for diabetes related foot disease and the relationship with levels of social advantage and disadvantage. Methods Using the Index of Relative Socioeconomic Disadvantage (IRSD each local government area (LGA across Victoria was ranked from most to least disadvantaged. Those LGAs ranked at the lowest end of the scale and therefore at greater disadvantage (Group D were compared with those at the highest end of the scale (Group A, in terms of total and per capita hospital separations for peripheral neuropathy, peripheral vascular disease, foot ulceration, cellulitis and osteomyelitis and amputation. Hospital separations data were compiled from the Victorian Admitted Episodes Database. Results Total and per capita separations were 2,268 (75.3/1,000 with diabetes and 2,734 (62.3/1,000 with diabetes for Group D and Group A respectively. Most notable variation was for foot ulceration (Group D, 18.1/1,000 versus Group A, 12.7/1,000, rate ratio 1.4, 95% CI 1.3, 1.6 and below knee amputation (Group D 7.4/1,000 versus Group A 4.1/1,000, rate ratio 1.8, 95% CI 1.5, 2.2. Males recorded a greater overall number of hospital separations across both socioeconomic strata with 66.2% of all separations for Group D and 81.0% of all separations for Group A recorded by males. However, when comparing mean age, males from Group D tended to be younger compared with males from Group A (mean age; 53.0 years versus 68.7 years. Conclusion Variation appears to exist for hospital separations for diabetes related foot disease across socioeconomic strata. Specific strategies should be incorporated into health policy and planning to combat disparities between health outcomes and social status.

  5. One world health: socioeconomic burden and parasitic disease control priorities.

    Science.gov (United States)

    Torgerson, Paul R

    2013-08-01

    Parasitic diseases present a considerable socio-economic impact to society. Zoonotic parasites can result in a considerable burden of disease in people and substantive economic losses to livestock populations. Ameliorating the effects of these diseases may consist of attempts at eradicating specific diseases at a global level, eliminating them at a national or local level or controlling them to minimise incidence. Alternatively with some parasitic zoonoses it may only be possible to treat human and animal cases as they arise. The choice of approach will be determined by the potential effectiveness of a disease control programme, its cost and the cost effectiveness or cost benefit of undertaking the intervention. Furthermore human disease burden is being increasingly measured by egalitarian non-financial measures which are difficult to apply to livestock. This adds additional challenges to the assessment of socio-economic burdens of zoonotic diseases. Using examples from the group of neglected zoonotic diseases, information regarding the socio-economic effects is reviewed together with how this information is used in decision making with regard to disease control and treatment. Copyright © 2013 Elsevier B.V. All rights reserved.

  6. Socioeconomics and Major Disabilities: Characteristics of Working-Age Adults in Rwanda.

    Directory of Open Access Journals (Sweden)

    Joshua Kiregu

    Full Text Available Disability affects approximately 15% of the world's population, and has adverse socio-economic effects, especially for the poor. In Rwanda, there are a number of government compensation programs that support the poor, but not specifically persons with disability (PWDs. This study investigates the relationship between poverty and government compensation on disability among working-age adults in Rwanda.This was a secondary analysis of 35,114 adults aged 16 to 65 interviewed in the 2010/2011 Rwanda Household Wealth and Living Conditions survey, a national cross-sectional two-stage cluster survey, stratified by district. This study estimated self-reported major disability, and used chi-square tests to estimate associations (p<0.1 with income, government compensation, occupation type, participation in public works programs, and household poverty status. Non-collinear economic variables were included in a multivariate logistic regression, along with socio-demographic confounders that modified the relationship between any economic predictor and the outcome by 10% or more. All analyses adjusted for sampling weights, stratification, and clustering of households.Over 4% of working-age adults reported having a major disability and the most prevalent types of disability in order were physical, mental, and then sensory disability. In bivariate analysis, annual income, occupation type, and poverty status were associated with major disability (p<0.001 for all. Occupation type was dropped because it was collinear with income. Age, education, and urban/rural residence were confounders. In the multivariate analysis, adults in all income groups had about half the odds of disability compared to adults with no income (Rwf1-120,000 OR = 0.57; Rwf120,000-250,000 OR = 0.61; Rwf250,000-1,000,000 OR = 0.59; Rwf1,000,000+ OR = 0.66; p<0.05 for all, and non-poor adults had 0.77 the odds of disability compared to poor adults (p = 0.001.Given that personal income rather than

  7. Nutritional profile of schoolchildren from different socio-economic levels in Santiago, Chile.

    Science.gov (United States)

    Liberona, Yessica; Castillo, Oscar; Engler, Valerie; Villarroel, Luis; Rozowski, Jaime

    2011-01-01

    To assess the nutritional status, food intake and physical activity patterns in schoolchildren attending 5th and 6th grade in basic schools from different socio-economic levels in the metropolitan region of Santiago. Cross-sectional study in children 5th and 6th grade of eighteen basic schools in the metropolitan region of Santiago. Boys and girls aged 9-12 years from basic schools were evaluated in terms of physical capacity. An anthropometric evaluation was also performed which included weight, height and triceps and subscapular skinfold thicknesses. Food intake was evaluated by a 24 h recall, socio-economic level by the ESOMAR method and physical activity by a questionnaire. Boys and girls aged 9-12 years (n 1732). The average prevalence of overweight and obesity was 40 %, with the highest prevalence in males and those from lower socio-economic level. A majority (64 %) of the children had a low level of physical activity. A higher intake of fat and protein and a higher intake of carbohydrate were found in the higher and lower socio-economic levels, respectively. Both males and females showed adequacy greater than 75 % in macronutrient intake except for fibre, with both groups showing a deficit in the consumption of fruits, vegetables, legumes, fish and milk products according to Chilean recommendations. A high prevalence of malnutrition by excess was observed in both sexes and a better eating and physical activity pattern was seen in children from higher socio-economic level.

  8. Income inequality, socioeconomic deprivation and depressive symptoms among older adults in Mexico.

    Science.gov (United States)

    Fernández-Niño, Julián Alfredo; Manrique-Espinoza, Betty Soledad; Bojorquez-Chapela, Ietza; Salinas-Rodríguez, Aarón

    2014-01-01

    Depression is the second most common mental disorder in older adults (OA) worldwide. The ways in which depression is influenced by the social determinants of health - specifically, by socioeconomic deprivation, income inequality and social capital - have been analyzed with only partially conclusive results thus far. The objective of our study was to estimate the association of income inequality and socioeconomic deprivation at the locality, municipal and state levels with the prevalence of depressive symptoms among OA in Mexico. Cross-sectional study based on a nationally representative sample of 8,874 OA aged 60 and over. We applied the brief seven-item version of the Center for Epidemiologic Studies Depression Scale (CES-D) to determine the presence of depressive symptoms. Additionally, to select the principal context variables, we used the Deprivation Index of the National Population Council of Mexico at the locality, municipal and state levels, and the Gini Index at the municipal and state levels. Finally, we estimated the association of income inequality and socioeconomic deprivation with the presence of depressive symptoms using a multilevel logistic regression model. Socioeconomic deprivation at the locality (OR = 1.28; pinequality did not. The results of our study confirm that the social determinants of health are relevant to the mental health of OA. Further research is required, however, to identify which are the specific socioeconomic deprivation components at the locality and municipal levels that correlate with depression in this population group.

  9. Impact of Socioeconomic Status and Ethnicity on Melanoma Presentation and Recurrence in Caucasian Patients.

    Science.gov (United States)

    Salvaggio, Christine; Han, Sung Won; Martires, Kathryn; Robinson, Eric; Madankumar, Reshmi; Gumaste, Priyanka; Polsky, David; Stein, Jennifer; Berman, Russell; Shapiro, Richard; Zhong, Judy; Osman, Iman

    2016-01-01

    The impact of ethnicity and the socioeconomic status (SES) among Caucasians is not well studied. Here, we examine the impact of income on melanoma presentation and prognosis within a Caucasian cohort, accounting for ethnicity, as some reports suggest increased melanoma incidence in Ashkenazi Jewish (AJ) BRCA mutation carriers. We studied prospectively enrolled primary melanoma patients at New York University. SES data were estimated using United States' Census Bureau data and patient zip codes. We evaluated associations between ethnicity, SES, and baseline characteristics using the χ² test and multivariate logistic regression. We compared survival distributions using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard ratios. Of the 1,339 enrolled patients, AJ represented 32% (n = 423). Apart from AJ being older at presentation (p < 0.001), no significant differences were observed in baseline characteristics between ethnic groups. Patients with a median household income (MHI) lower than the median of the cohort were significantly more likely to present with advanced stages (p < 0.001) compared to patients with a higher MHI. Shorter overall (p = 0.016) and post-recurrence survival (p = 0.042) was also observed in patients from lower-income households. Data suggest that disparities in melanoma presentation in Caucasians stratify according to income independent of ethnic background. © 2016 S. Karger AG, Basel.

  10. Multivariate wavelet frames

    CERN Document Server

    Skopina, Maria; Protasov, Vladimir

    2016-01-01

    This book presents a systematic study of multivariate wavelet frames with matrix dilation, in particular, orthogonal and bi-orthogonal bases, which are a special case of frames. Further, it provides algorithmic methods for the construction of dual and tight wavelet frames with a desirable approximation order, namely compactly supported wavelet frames, which are commonly required by engineers. It particularly focuses on methods of constructing them. Wavelet bases and frames are actively used in numerous applications such as audio and graphic signal processing, compression and transmission of information. They are especially useful in image recovery from incomplete observed data due to the redundancy of frame systems. The construction of multivariate wavelet frames, especially bases, with desirable properties remains a challenging problem as although a general scheme of construction is well known, its practical implementation in the multidimensional setting is difficult. Another important feature of wavelet is ...

  11. Socioeconomic Inequalities in Oral Health Among Unmarried and Married Women: Evidence From a Population-Based Study in Japan.

    Science.gov (United States)

    Murakami, Keiko; Ohkubo, Takayoshi; Hashimoto, Hideki

    2018-03-24

    Socioeconomic inequalities in oral health have been reported in developed countries, but the influence of marital status has rarely been considered. Our aim was to examine marital status differentials in the association between socioeconomic status (SES) and oral health among community-dwelling Japanese women. From 2010 to 2011, a questionnaire survey was conducted among residents aged 25-50 years in Japanese metropolitan areas. Valid responses were received from 626 unmarried women and 1,620 married women. Women's own and husbands' educational attainment and equivalent income were used to assess SES. Self-rated "fair" or "poor" oral health was defined as poor oral health. Multiple logistic regression analysis was conducted to examine which SES indicators were associated with oral health. The prevalence of poor oral health was 21.1% among unmarried women and 23.8% among married women. Among unmarried women, equivalent income was not associated with oral health, but women's own education was significantly associated with oral health; the multivariate-adjusted odds ratio of poor oral health among those with high school education or lower compared to those with university education or higher was 2.14 (95% confidence interval, 1.19-3.87). Among married women, neither women's own nor husbands' education was associated with oral health, but equivalent income was significantly associated with oral health, particularly among housewives; the multivariate-adjusted odds ratio of poor oral health among those in the lowest compared with highest income quartile was 1.57 (95% confidence interval, 1.08-2.27). These findings indicate that marital status should be considered when examining associations between SES and oral health among Japanese women.

  12. Tenth Grade Dropout Rates by Native Language, Race/Ethnicity, and Socioeconomic Status

    OpenAIRE

    Rumberger, Russell W.

    2006-01-01

    One of the most important indicators of educational performance is the high school dropout rate. Reducing dropout rates and improving high school graduation rates are important goals for both educators and policymakers. Yet there is a great deal of controversy about how best to measure dropout and graduation rates. This issue of EL Facts provides estimates of dropout rates for language minority students, racial and ethnic groups, and socioeconomic groups.

  13. Procesoptimerende multivariable regulatorer til kraftværkskedler. Process Optimizing Multivariable Controllers for Powerplant Boilers

    DEFF Research Database (Denmark)

    Hansen, T.

    The purpose of this Ph.D. thesis is twofold: The first purpose is to devise a new method for application of multivariable controllers in boiler control systems in which they act as optional process optimizing extensions to conventional control systems and in such a way that the safety measures...... mentioned, the concept is applicable to new as well as existing plants. The seccond purpose is to suggest specific methods for experimental modelling and multivariable controller design which are possible to use under the conceptual framework, implement them and test them in a boiler application....

  14. Socio-economic differences in outdoor food advertising in a city in Northern England.

    Science.gov (United States)

    Adams, Jean; Ganiti, Ellie; White, Martin

    2011-06-01

    To explore differences in the prevalence of outdoor food advertising, and the type and nutritional content of advertised foods, according to an area-based marker of socio-economic position (SEP) in a city in Northern England. All outdoor advertisements in the city were identified during October-December 2009, their size (in m2) estimated and their location determined using a global positioning system device. Advertisements were classified as food or non-food. Food advertisements were classified into one of six food categories. Information on the nutritional content of advertised foods was obtained from packaging and manufacturer's websites. An area-based marker of SEP was assigned using the location of each advertisement, grouped into three affluence tertiles for analysis. A city in Northern England. None. In all, 1371 advertisements were identified; 211 (15 %) of these were for food. The advertisements covered 6765 m2, of which 1326 m2 (20 %) was for food. Total advertising and food advertising space was largest in the least affluent tertile. There was little evidence of socio-economic trends in the type or nutritional content of advertised foods. Despite an absence of socio-economic differences in the type and nutritional content of advertised foods, there were socio-economic differences in food advertising space. There may also be socio-economic differences in exposure to outdoor food advertising.

  15. Height, body mass index, and socioeconomic status: mendelian randomisation study in UK Biobank.

    Science.gov (United States)

    Tyrrell, Jessica; Jones, Samuel E; Beaumont, Robin; Astley, Christina M; Lovell, Rebecca; Yaghootkar, Hanieh; Tuke, Marcus; Ruth, Katherine S; Freathy, Rachel M; Hirschhorn, Joel N; Wood, Andrew R; Murray, Anna; Weedon, Michael N; Frayling, Timothy M

    2016-03-08

    's socioeconomic status, especially women's BMI for income and deprivation and men's height for education, income, and job class. These findings have important social and health implications, supporting evidence that overweight people, especially women, are at a disadvantage and that taller people, especially men, are at an advantage. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  16. Multivariate data analysis

    DEFF Research Database (Denmark)

    Hansen, Michael Adsetts Edberg

    Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set...

  17. An Exact Confidence Region in Multivariate Calibration

    OpenAIRE

    Mathew, Thomas; Kasala, Subramanyam

    1994-01-01

    In the multivariate calibration problem using a multivariate linear model, an exact confidence region is constructed. It is shown that the region is always nonempty and is invariant under nonsingular transformations.

  18. How socio-economic status contributes to participation in leisure-time physical activity

    Science.gov (United States)

    The aim of this cross-sectional study was to identify individual, social, and environmental contributors (mediators) to individual- and area-level differences in leisure-time physical activity across socio-economic groups. A two-stage stratified sampling design was used to recruit 20– to 65-year-old...

  19. Effects of age, socioeconomic status, and menstrual cycle on pulmonary response to ozone

    Energy Technology Data Exchange (ETDEWEB)

    Seal, E. Jr.; McDonnell, W.F.; House, D.E. [Environmental Protection Agency, Research Triangle Park, NC (United States)

    1996-03-01

    The purpose of this study was to investigate the effects of age, socioeconomic status, and menstrual cycle phase on the pulmonary response to ozone exposure. Three hundred seventy-two healthy white and black young adults, between the ages of 18 and 35 y, were exposed only once to 0.0, 0.12, 0.18, 0.24, 0.30, or 0.40 ppm ozone for 2.3 h. Prior to and after exposure, pulmonary function tests were obtained. Prior to exposure, each subject completed a personal and family-history questionnaire. The response to this questionnaire were used to investigate age, socioeconomic status, and menstrual cycle phase effects on pulmonary responsiveness to ozone. We concluded that the ages of subjects, within the age range studied, had an effect on responsiveness (i.e., decrements in forced expiratory volume in 1 s decreased as the subjects` ages decreased). Socioeconomic status, as reflected by education of fathers, also appeared to affect forced expiratory volume in 1-s responsiveness to ozone, with the middle socioeconomic group being the most responsive. The phase of menstrual cycle did not have an impact on individual responsiveness to ozone. 14 refs., 4 figs.

  20. Multivariate rational data fitting

    Science.gov (United States)

    Cuyt, Annie; Verdonk, Brigitte

    1992-12-01

    Sections 1 and 2 discuss the advantages of an object-oriented implementation combined with higher floating-point arithmetic, of the algorithms available for multivariate data fitting using rational functions. Section 1 will in particular explain what we mean by "higher arithmetic". Section 2 will concentrate on the concepts of "object orientation". In sections 3 and 4 we shall describe the generality of the data structure that can be dealt with: due to some new results virtually every data set is acceptable right now, with possible coalescence of coordinates or points. In order to solve the multivariate rational interpolation problem the data sets are fed to different algorithms depending on the structure of the interpolation points in then-variate space.

  1. Multivariate missing data in hydrology - Review and applications

    Science.gov (United States)

    Ben Aissia, Mohamed-Aymen; Chebana, Fateh; Ouarda, Taha B. M. J.

    2017-12-01

    Water resources planning and management require complete data sets of a number of hydrological variables, such as flood peaks and volumes. However, hydrologists are often faced with the problem of missing data (MD) in hydrological databases. Several methods are used to deal with the imputation of MD. During the last decade, multivariate approaches have gained popularity in the field of hydrology, especially in hydrological frequency analysis (HFA). However, treating the MD remains neglected in the multivariate HFA literature whereas the focus has been mainly on the modeling component. For a complete analysis and in order to optimize the use of data, MD should also be treated in the multivariate setting prior to modeling and inference. Imputation of MD in the multivariate hydrological framework can have direct implications on the quality of the estimation. Indeed, the dependence between the series represents important additional information that can be included in the imputation process. The objective of the present paper is to highlight the importance of treating MD in multivariate hydrological frequency analysis by reviewing and applying multivariate imputation methods and by comparing univariate and multivariate imputation methods. An application is carried out for multiple flood attributes on three sites in order to evaluate the performance of the different methods based on the leave-one-out procedure. The results indicate that, the performance of imputation methods can be improved by adopting the multivariate setting, compared to mean substitution and interpolation methods, especially when using the copula-based approach.

  2. Socioeconomic inequalities and mortality among disability pensioners in Norway – a population-based cohort study

    Directory of Open Access Journals (Sweden)

    Sturla Gjesdal

    2007-01-01

    Full Text Available The study assessed the mortality related to disability pension (DP status in Norway during 1990-96 and investigated whether socioeconomic factors explained the increased mortality. Methods: A 10% random sample of the Norwegian population aged 30-59 years, 73,420 women and 75,500 men, were followed-up with respect to death or emigration in 1990-96. DP-status, age, gender, educational level and mean income before inclusion were used as explanatory variables in Cox’ regression analysis with death as endpoint. The analyses were stratified for gender and separately for persons who had obtained DP before 1985 (early and in 1985-1989 (late. Results: The majority of persons with DP had only basic education and belonged to the lowest income level. Among the women 6.2% in the DP-group died during follow-up compared to 1.2% of those in the non-DP group. The corresponding percentages for men were 14.5% and 2.3%. The age-adjusted hazard ratios (HRs were 3.5 and 2.5 for women with early and late DP, and 4.3 and 3.3 among men. After adjustment for socioeconomic variables, the HRs were 2.9 and 2.2 for women, and 2.2 and 1.9 for men. Conclusions: Nearly half of the excess mortality related to DP-status was explained by low socioeconomic status among the men. Among women, HR related to DP was not significantly reduced after the adjustments for socioeconomic variables. These findings indicate a strong impact of the medical factors underlying the DP decision, especially among women, but also an important role of the socioeconomic factors related to DP status.

  3. Employment and Socioeconomic Factors Associated With Children's Up-to-Date Vaccination Status.

    Science.gov (United States)

    Chen, Weiwei; Elam-Evans, Laurie D; Hill, Holly A; Yankey, David

    2017-04-01

    This study examined whether additional information on parents' employment and household characteristics would help explain the differences in children's up-to-date (UTD) vaccination status using the 2008 National Immunization Survey and its associated Socioeconomic Status Module. After controlling for basic sociodemographic factors in multivariable analyses, parent's work schedules and ease of taking time off from work were not associated with UTD vaccination status among 19- to 35-month-old children. We also conducted a stratified analysis to test the heterogeneous effects of the factors among children at 3 age-restricted maternal education levels and found the benefit of paid sick leave had a significant association only among families where the mother had a college degree. Families who had moved since the child's birth, especially if the mother had high school or lower education, were less likely to have children UTD on the vaccine series.

  4. Multivariate statistics high-dimensional and large-sample approximations

    CERN Document Server

    Fujikoshi, Yasunori; Shimizu, Ryoichi

    2010-01-01

    A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic

  5. Exploratory multivariate analysis by example using R

    CERN Document Server

    Husson, Francois; Pages, Jerome

    2010-01-01

    Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis.The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the prin

  6. Beyond education and income: Identifying novel socioeconomic correlates of cigarette use in U.S. young adults.

    Science.gov (United States)

    Villanti, Andrea C; Johnson, Amanda L; Rath, Jessica M

    2017-11-01

    Young adulthood is defined by transitions in family life, living situations, educational settings, and employment. As a result, education and income may not be appropriate measures of socioeconomic status (SES) in young people. Using a national sample of young adults aged 18-34 (n=3364; collected February 2016), we explored novel socioeconomic correlates of ever cigarette use, past 30-day cigarette use, and daily cigarette use, weighted to account for non-response. Measures of SES assessed current education, household income, employment status, and subjective financial situation (SFS) and childhood SES (maternal and paternal education, SFS during childhood, parental divorce before age 18). Parental smoking during childhood was examined in sensitivity analyses. The highest prevalence of ever cigarette use was in young adults whose parents divorced before age 18 (57% vs. 47% overall). In general, current education, subjective financial status, and parental education were inversely correlated with past 30-day and daily cigarette use in bivariate analyses. In multivariable Poisson regression models controlling for age, gender, race/ethnicity, and other SES measures, lower education and poorer SFS were most strongly correlated with ever and past 30-day cigarette use. Lower maternal education emerged as the strongest correlate of daily smoking, conferring a twofold higher prevalence of daily smoking compared to maternal education of a Bachelor's degree or greater. Current household income was not a strong predictor of any cigarette use outcome. Novel measures like SFS may improve estimates of socioeconomic disadvantage during this developmental stage. Copyright © 2017. Published by Elsevier Inc.

  7. The association between neighborhood socioeconomic disadvantage and high-risk injection behavior among people who inject drugs.

    Science.gov (United States)

    DeCuir, Jennifer; Lovasi, Gina S; El-Sayed, Abdulrahman; Lewis, Crystal Fuller

    2018-02-01

    Although much research has been conducted on the determinants of HIV risk behavior among people who inject drugs (PWID), the influence of the neighborhood context on high-risk injection behavior remains understudied. To address this gap in the literature, we measured associations between neighborhood socioeconomic disadvantage and high-risk injection behavior, and determined whether these associations were modified by drug-related police activity and syringe exchange program (SEP) accessibility. Our sample was comprised of 484 pharmacy-recruited PWID in New York City. Measures of neighborhood socioeconomic disadvantage were created using data from the 2006-2010 American Community Survey. Associations with high-risk injection behavior were estimated using multivariable Poisson regression. Effect modification by drug-related police activity and SEP accessibility was assessed by entering cross-product terms into adjusted models of high-risk injection behavior. Neighborhood socioeconomic disadvantage was associated with decreased receptive syringe sharing and unsterile syringe use. In neighborhoods with high drug-related police activity, associations between neighborhood disadvantage and unsterile syringe use were attenuated to the null. In neighborhoods with high SEP accessibility, neighborhood disadvantage was associated with decreased acquisition of syringes from an unsafe source. PWID in disadvantaged neighborhoods reported safer injection behaviors than their counterparts in neighborhoods that were relatively better off. The contrasting patterns of effect modification by SEP accessibility and drug-related police activity support the use of harm reduction approaches over law enforcement-based strategies for the control of blood borne virus transmission among PWID in disadvantaged urban areas. Copyright © 2017 Elsevier B.V. All rights reserved.

  8. Assessment of voice related quality of life and its correlation with socioeconomic status after total laryngectomy.

    Science.gov (United States)

    Agarwal, Sangeet Kumar; Gogia, Shweta; Agarwal, Alok; Agarwal, Rajiv; Mathur, Ajay Swaroop

    2015-10-01

    After total laryngectomy for laryngeal cancer, the major determinants of QOL is the patient's voice related quality of life (V-RQOL). The primary aim of this study was to assess the V-RQOL and impact of socioeconomic status over it in Indian population by using two validated scales [voice handicap index (VHI) and V-RQOL questionnaires]. Total 104 patients underwent total laryngectomy but 71 were eligible for study. Patients filled the VHI and V-RQOL questionnaires after completion of 1 year of usage of the TEP voice. The socioeconomic status of the patients was calculated according to various domains related to their life and were divided into lower and higher status. A total of 76.1% patients had VHI score between 0 to 30 (minimal voice handicap), 19.7% had score between 31 to 60 (moderate voice handicap) and only 4.2% patients had VHI score more than 61 (serious voice handicap). On V-RQOL scores, 16.9% patients had score between 10 to 15 (excellent), 40.8% patients, between 16 to 20 (very good), 22.5% patients, between 21 and 25 (good voice), 15.5% patients, between 26 and 30 (fair) and only 4.2% patients scored more than 30 with poor quality of voice. Patients with lower socioeconomic group had better V-RQOL than with high socioeconomic group. VHI and V-RQOL scores in our series were superior to other studies due to major population with lower socioeconomic status and better social support which exists in our society.

  9. Socioeconomic and demographic drivers of red and processed meat consumption: implications for health and environmental sustainability.

    Science.gov (United States)

    Clonan, Angie; Roberts, Katharine E; Holdsworth, Michelle

    2016-08-01

    Red and processed meat (RPM) intake varies widely globally. In some high-income countries (HIC) the last decade has witnessed an overall decline or stabilisation in the consumption of RPM, in contrast to emerging economies where its consumption continues to increase with rising income and rapid urbanisation. The production and consumption of RPM have become major concerns regarding the environmental impacts of livestock in particular, but also because of associations between high RPM consumption and diet-related non-communicable disease. Therefore, it is important to identify socioeconomic and demographic drivers of the consumption of RPM. This paper explores how consumption of RPM differs with age, gender, socioeconomic status and in different global contexts. There are some key socioeconomic and demographic patterns in RPM consumption. Men tend to consume RPM more often and in higher quantities, and there is evidence of a social gradient in HIC, with lower socioeconomic groups consuming RPM more often and in larger quantities. Patterns for consumption with age are less clear cut. It is apparent that consumers in HIC are still consuming high levels of RPM, although the downward shifts in some socioeconomic and demographic groups is encouraging and suggests that strategies could be developed to engage those consumers identified as high RPM consumers. In low- and middle-income countries, RPM consumption is rising, especially in China and Brazil, and in urban areas. Ways of encouraging populations to maintain their traditional healthy eating patterns need to be found in low- and middle-income countries, which will have health, environmental and economic co-benefits.

  10. Agent-Based and Macroscopic Modeling of the Complex Socio-Economic Systems

    Directory of Open Access Journals (Sweden)

    Aleksejus Kononovičius

    2013-08-01

    policy making tools in order to cope with the social transformations in the contemporary society. Originality/Value – The relationship between the inter-individual and the collective behavior is an interesting topic considered to be coming from rather different fields by many scientists. Yet the topic has received due attention only in the recent years. Consequently, the truly systematic approaches directly bridging between these two concepts are somewhat rare. These approaches also differ among themselves – some of the research groups consider questionnaires to understand the individual incentives of the humans, some suggest varying applications of the known physical models and some have roots in the behavioral economics and utility optimization. Our approach in this sense is unique as we start from a simple agentbased herding model and use the ideas from the statistical physics to obtain its macroscopic treatments for the different socio-economic scenarios. In this contribution we present our previous approaches, namely considering new product diffusion in the market and also a financial market model, and also our most recent results, related to the leadership in the social communities and predator-prey type competition in the socio-economic systems. To the best of the authors’ knowledge, the correspondence between the considered simple agent-based herding model and the considered macroscopic models was not previously discussed by the other research groups. Research type: research paper.

  11. Impact of tobacco-related health warning labels across socioeconomic, race and ethnic groups: results from a randomized web-based experiment.

    Directory of Open Access Journals (Sweden)

    Jennifer Cantrell

    Full Text Available BACKGROUND: The U.S. Family Smoking Prevention and Tobacco Control Act of 2009 requires updating of the existing text-only health warning labels on tobacco packaging with nine new warning statements accompanied by pictorial images. Survey and experimental research in the U.S. and other countries supports the effectiveness of pictorial health warning labels compared with text-only warnings for informing smokers about the risks of smoking and encouraging cessation. Yet very little research has examined differences in reactions to warning labels by race/ethnicity, education or income despite evidence that population subgroups may differ in their ability to process health information. The purpose of the present study was to evaluate the potential impact of pictorial warning labels compared with text-only labels among U.S. adult smokers from diverse racial/ethnic and socioeconomic subgroups. METHODS/FINDINGS: Participants were adult smokers recruited from two online research panels (n = 3,371 into a web-based experimental study to view either the new pictorial warnings or text-only warnings. Participants viewed the labels and reported their reactions. Adjusted regression models demonstrated significantly stronger reactions for the pictorial condition for each outcome salience (b = 0.62, p<.001; perceived impact (b = 0.44, p<.001; credibility (OR = 1.41, 95% CI = 1.22-1.62, and intention to quit (OR = 1.30, 95% CI = 1.10-1.53. No significant results were found for interactions between condition and race/ethnicity, education, or income. The only exception concerned the intention to quit outcome, where the condition-by-education interaction was nearly significant (p = 0.057. CONCLUSIONS: Findings suggest that the greater impact of the pictorial warning label compared to the text-only warning is consistent across diverse racial/ethnic and socioeconomic populations. Given their great reach, pictorial health warning labels may be one of the few tobacco

  12. Ellipsoidal prediction regions for multivariate uncertainty characterization

    DEFF Research Database (Denmark)

    Golestaneh, Faranak; Pinson, Pierre; Azizipanah-Abarghooee, Rasoul

    2018-01-01

    , for classes of decision-making problems based on robust, interval chance-constrained optimization, necessary inputs take the form of multivariate prediction regions rather than scenarios. The current literature is at very primitive stage of characterizing multivariate prediction regions to be employed...... in these classes of optimization problems. To address this issue, we introduce a new class of multivariate forecasts which form as multivariate ellipsoids for non-Gaussian variables. We propose a data-driven systematic framework to readily generate and evaluate ellipsoidal prediction regions, with predefined...... probability guarantees and minimum conservativeness. A skill score is proposed for quantitative assessment of the quality of prediction ellipsoids. A set of experiments is used to illustrate the discrimination ability of the proposed scoring rule for potential misspecification of ellipsoidal prediction regions...

  13. School environment, socioeconomic status and weight of children in Bloemfontein, South Africa.

    Science.gov (United States)

    Meko, Lucia N M; Slabber-Stretch, Marthinette; Walsh, Corinna M; Kruger, Salome H; Nel, Mariette

    2015-03-31

    The continued existence of undernutrition, associated with a steady increase in the prevalence of overweight and obesity in children and adolescents, necessitates identification of factors contributing to this double burden of disease, in order for effective treatment and prevention programmes to be planned. To determine the nutritional status of 13-15-year-old children in Bloemfontein and its association with socioeconomic factors. Bloemfontein, Free State Province, South Africa (2006). This was a cross-sectional analytical study. Randomly selected children (n = 415) completed structured questionnaires on socioeconomic status. The children's weight and height were measured and body mass index-for-age and height-for-age z-scores were computed according to World Health Organization growth standards in order to determine the prevalence of underweight, overweight, obesity and stunting. Waist circumference was measured to classify the children as having a high or very high risk for metabolic disease. Of the 415 children who consented to participate in the study, 14.9% were wasted and 3.4% were severely wasted. Only 6% of the children were overweight/obese. Significantly more boys (23.0%) were wasted than girls (10%) and severe stunting was also significantly higher in boys than in girls (10.3% and 4.2%, respectively). Children whose parents had graduate occupations were significantly more overweight/obese than those with parents working in skilled occupations. Stunting was significantly higher in low (31.4%) and medium (30.4%) socioeconomic groups compared to the high socioeconomic group (18.1%). A coexistence of underweight and overweight was found and gender and parental occupation were identified as being predictors of nutritional status.

  14. Multivariate analysis of prognostic factors for idiopathic sudden sensorineural hearing loss in children.

    Science.gov (United States)

    Chung, Jae Ho; Cho, Seok Hyun; Jeong, Jin Hyeok; Park, Chul Won; Lee, Seung Hwan

    2015-09-01

    To evaluate clinical characteristics and possible associated factors of idiopathic sudden sensorineural hearing loss (ISSNHL) in children using univariate and multivariate analyses. A retrospective case series with comparisons. From January 2007 to December 2013, medical records of 37 pediatric ISSNHL patients were reviewed to assess hearing recovery rate and examine factors associated with prognosis (gender; side of hearing loss; opposite side hearing loss; treatment onset; presence of vertigo, tinnitus, and ear fullness; initial hearing threshold), using univariate and multivariate analysis, and compare them with 276 adult ISSNHL patients. Pediatric patients comprised only 6.6% of pediatric/adult cases of ISSNHL, and those below 10 years old were only 0.7%. The overall recovery rates (complete and partial) of the pediatric and adult patients were 57.4% and 47.2%, respectively. The complete recovery rate of the pediatric group (46.6%) was higher than that of the adult group (30.8%, P = .040). According to multivariate analysis, absence of tinnitus, later onset of treatment, and higher hearing threshold at initial presentation were associated with a poor prognosis in pediatric ISSNHL. The recovery rate of ISSNHL in pediatric patients is higher than in adults, and the presence of tinnitus and earlier treatment onset is associated with favorable outcomes. 4. © 2015 The American Laryngological, Rhinological and Otological Society, Inc.

  15. Resent state and multivariate analysis of a few juniper forests of baluchistan, pakistan

    International Nuclear Information System (INIS)

    Ahmed, M.; Siddiqui, M.F.

    2015-01-01

    Quantitative multivariate investigations were carried out to explore various forms of Juniper trees resulting human disturbances and natural phenomenon. Thirty stands were sampled by point centered quarter method and data were analysed using Wards cluster analysis and Bray-Curtis ordination. On the basis of multivariate analysis eight various forms i.e. healthy, unhealthy, over mature, disturbed, dieback, standing dead, logs and cut stem were recognized. Structural attributes were computed. Highest numbers (130-133 stem ha-1) of logs were recorded from Cautair and Khunk forests. Highest density ha-1 (229 ha-1) of healthy plants was estimated from Tangi Top area while lowest number (24 ha-1) of healthy plants was found from Saraghara area. Multivariate analysis showed five groups in cluster and ordination diagrams. These groups are characterized on the basis of healthy, over mature, disturbed and logged trees of Juniper. Higher number (115, 96, 84, 80 ha-1) of disturbed trees were distributed at Speena Sukher, Srag Kazi, Prang Shella and Tangi Top respectively. Overall density does not show any significant relation with basal area m2 ha-1, degree of slopes and the elevation of the sampling stands. Present study show that each and every Juniper stands are highly disturbed mostly due to human influence, therefore prompt conservational steps should be taken to safe these forests. (author)

  16. Socioeconomic and modifiable predictors of blood pressure control ...

    African Journals Online (AJOL)

    Background. Low socioeconomic status is associated with the risk of hypertension. There are few reports of the effect of socioeconomic and potentially modifiable factors on the control of hypertension in South Africa (SA). Objectives. To investigate associations between patients' socioeconomic status and characteristics of ...

  17. Socio-Economic Position and Suicidal Ideation in Men

    Directory of Open Access Journals (Sweden)

    Jane Pirkis

    2017-03-01

    Full Text Available People in low socio-economic positions are over-represented in suicide statistics and are at heightened risk for non-fatal suicidal thoughts and behaviours. Few studies have tried to tease out the relationship between individual-level and area-level socio-economic position, however. We used data from Ten to Men (the Australian Longitudinal Study on Male Health to investigate the relationship between individual-level and area-level socio-economic position and suicidal thinking in 12,090 men. We used a measure of unemployment/employment and occupational skill level as our individual-level indicator of socio-economic position. We used the Index of Relative Socio-Economic Disadvantage (a composite multidimensional construct created by the Australian Bureau of Statistics that combines information from a range of area-level variables, including the prevalence of unemployment and employment in low skilled occupations as our area-level indicator. We assessed suicidal thinking using the Patient Health Questionnaire (PHQ-9. We found that even after controlling for common predictors of suicidal thinking; low individual-level and area-level socio-economic position heightened risk. Individual-level socio-economic position appeared to exert the greater influence of the two; however. There is an onus on policy makers and planners from within and outside the mental health sector to take individual- and area-level socio-economic position into account when they are developing strategic initiatives.

  18. Multivariate realised kernels

    DEFF Research Database (Denmark)

    Barndorff-Nielsen, Ole; Hansen, Peter Reinhard; Lunde, Asger

    We propose a multivariate realised kernel to estimate the ex-post covariation of log-prices. We show this new consistent estimator is guaranteed to be positive semi-definite and is robust to measurement noise of certain types and can also handle non-synchronous trading. It is the first estimator...

  19. [Socioeconomic differentials in health and health related behaviors: findings from the Korea Youth Panel Survey].

    Science.gov (United States)

    Khang, Young-Ho; Cho, Sung-Il; Yang, Seungmi; Lee, Moo-Song

    2005-11-01

    status among the eighth graders of South Korea. The overall satisfaction of life was associated with the socioeconomic position indicators. Further research efforts are needed to explore the mechanisms on how and why the socioeconomic position affects the health and health related behaviors in this age group.

  20. Do Mothers with Lower Socioeconomic Status Contribute to the Rate of All-Cause Child Mortality in Kazakhstan?

    Science.gov (United States)

    Yu, Fei; Yan, Ziqi; Pu, Run; Tang, Shangfeng; Ghose, Bishwajit; Huang, Rui

    2018-01-01

    This study aimed to explore whether or not mothers with higher educational and wealth status report lower rate of child mortality compared to those with less advantageous socioeconomic situation. Data used were cross-sectional and collected from Multiple Indicator Cluster Survey in Kazakhstan conducted in 2015. Subjects experiencing childbirth were 9278 women aging between 15 and 49 years. The associations between maternal education and household wealth status with child mortality were examined by multivariate analytical methods. The overall prevalence of child mortality was 6.7%, with noticeable variations across the different regions. Compared with women who had the highest educational status, those with upper and lower secondary were 1.47 and 1.89 times more likely to experience child death. Women in the lowest and second lowest wealth quintile had 2.74 and 2.68 times higher odds of experiencing child death compared with those in the richest wealth status households. Policy makers pay special attention to improving socioeconomic status of the mothers in an effort to reduce child mortality in the country. Women living in the disadvantaged regions with poor access to quality health care services should be regarded as a top priority.

  1. The role of neighborhood level socioeconomic characteristics in Salmonella infections in Michigan (1997–2007: Assessment using geographic information system

    Directory of Open Access Journals (Sweden)

    Wilkins Melinda

    2007-12-01

    Full Text Available Abstract Background: The majority of U.S. disease surveillance systems contain incomplete information regarding socioeconomic status (SES indicators like household or family income and educational attainment in case reports, which reduces the usefulness of surveillance data for these parameters. We investigated the association between select SES attributes at the neighborhood level and Salmonella infections in the three most populated counties in Michigan using a geographic information system. Methods: We obtained data on income, education, and race from the 2000 U.S. Census, and the aggregate number of laboratory-confirmed cases of salmonellosis (1997–2006 at the block group level from the Michigan Department of Community Health. We used ArcGIS to visualize the distribution, and Poisson regression analysis to study associations between potential predictor variables and Salmonella infections. Results: Based on data from 3,419 block groups, our final multivariate model revealed that block groups with lower educational attainment were less commonly represented among cases than their counterparts with higher education levels (Salmonella infections incidence at the block group level. Conclusion: Education plays a significant role in health-seeking behavior at the population level. It is conceivable that a reporting bias may exist due to a greater detection of Salmonella infections among high education block groups compared to low education block groups resulting from differential access to healthcare. In addition, individuals of higher education block groups who also have greater discretionary income may eat outside the home frequently and be more likely to own pets considered reservoirs of Salmonella, which increase the likelihood of contracting Salmonella infections compared to their counterparts with lower levels of education. Public health authorities should focus on improving the level of disease detection and reporting among communities with

  2. Induced abortion in Denmark: effect of socio-economic situation and country of birth

    DEFF Research Database (Denmark)

    Rasch, Vibeke; Gammeltoft, Tine; Knudsen, Lisbeth B

    2007-01-01

    study focuses on how socio-economic characteristics and country of birth are associated with induced abortion. METHODS: A structured questionnaire was used to collect information among 1351 women requesting abortion and a control group of 1306 women intending birth. RESULTS: The strongest factor...

  3. Socioeconomic Development Inequalities among Geographic Units ...

    African Journals Online (AJOL)

    Socio-economic development inequality among geographic units is a phenomenon common in both the developed and developing countries. Regional inequality may result in dissension among geographic units of the same state due to the imbalance in socio-economic development. This study examines the inequality ...

  4. Control Multivariable por Desacoplo

    Directory of Open Access Journals (Sweden)

    Fernando Morilla

    2013-01-01

    Full Text Available Resumen: La interacción entre variables es una característica inherente de los procesos multivariables, que dificulta su operación y el diseño de sus sistemas de control. Bajo el paradigma de Control por desacoplo se agrupan un conjunto de metodologías, que tradicionalmente han estado orientadas a eliminar o reducir la interacción, y que recientemente algunos investigadores han reorientado con objetivos de solucionar un problema tan complejo como es el control multivariable. Parte del material descrito en este artículo es bien conocido en el campo del control de procesos, pero la mayor parte de él son resultados de varios años de investigación de los autores en los que han primado la generalización del problema, la búsqueda de soluciones de fácil implementación y la combinación de bloques elementales de control PID. Esta conjunción de intereses provoca que no siempre se pueda conseguir un desacoplo perfecto, pero que sí se pueda conseguir una considerable reducción de la interacción en el nivel básico de la pirámide de control, en beneficio de otros sistemas de control que ocupan niveles jerárquicos superiores. El artículo resume todos los aspectos básicos del Control por desacoplo y su aplicación a dos procesos representativos: una planta experimental de cuatro tanques acoplados y un modelo 4×4 de un sistema experimental de calefacción, ventilación y aire acondicionado. Abstract: The interaction between variables is inherent in multivariable processes and this fact may complicate their operation and control system design. Under the paradigm of decoupling control, several methodologies that traditionally have been addressed to cancel or reduce the interactions are gathered. Recently, this approach has been reoriented by several researchers with the aim to solve such a complex problem as the multivariable control. Parts of the material in this work are well known in the process control field; however, most of them are

  5. Utilisation of general practitioner services by socio-economic disadvantage and geographic remoteness.

    Science.gov (United States)

    Turrell, Gavin; Oldenburg, Brian F; Harris, Elizabeth; Jolley, Damien

    2004-04-01

    To examine the association between socio-economic status (SES) and GP utilisation across Statistical Local Areas (SLAs) that differed in their geographic remoteness, and to assess whether Indigenous status and GP availability modified the association. Retrospective analysis of Medicare data for all unreferred GP consultations (1996/97) for 952 SLAs comprising the six Australian States. Geographic remoteness was ascertained using the Area Remoteness Index of Australia (ARIA), and SES was measured by grouping SLAs into tertiles based on their Index of Relative Socioeconomic Disadvantage score. Age/sex standardised rates of GP utilisation for each SLA. In SLAs classified as 'highly accessible', rates of GP use were 10.8% higher (95% CI 5.7-16.0) in the most socio-economically disadvantaged tertile after adjustment for Indigenous status and GP availability. A very different pattern of GP utilsation was found in 'remote/very remote' SLAs. After adjustment, rates of GP use in the most socio-economically disadvantaged tertile were 25.3% lower (95% CI 5.9-40.7) than in the most advantaged tertile. People in socio-economically disadvantaged metropolitan SLAs have higher rates of GP utilisation, as would be expected due to their poorer health. This is not true for people living in disadvantaged remote/very remote SLAs: in these areas, those most in need of GP services are least likely to receive them. Australia may lay claim to having a primary health care system that provides universal coverage, but we are still some way from having a system that is economically and geographically accessible to all.

  6. Socio-economic and environmental effects influencing the development of leprosy in Bahia, north-eastern Brazil.

    Science.gov (United States)

    Cabral-Miranda, William; Chiaravalloti Neto, Francisco; Barrozo, Ligia V

    2014-12-01

    To investigate spatial clusters and possible associations between relative risks of leprosy with socio-economic and environmental factors, taking into account diagnosed cases in children under 15 years old. An ecological study was conceived using data aggregated by municipality to identify possible spatial clusters of leprosy from 2005 to 2011. Relative risks were calculated accounting for the respective covariate gender. The second stage of the analysis consisted of verifying possible associations between the relative risks of leprosy as a dependent variable, and socio-economic and environmental variables as independent. This was performed using a multivariate regression analysis according to a previously defined conceptual framework. Overall rates have decreased from 0.88/10 000 in 2005 to 0.52 in 2011. Spatial scan statistics identified 4 high-risk and 6 low-risk clusters. In the regression model, after allowing for spatial dependence, relative risks were associated with higher percentage of water bodies, higher Gini index, higher percentage of urban population, larger average number of dwellers by permanent residence and smaller percentage of residents born in Bahia. Although relative risks of leprosy in Bahia have been decreasing, they remain very high. The association between relative risks of leprosy and water bodies in the proposed geographic scale indicates that hypothesis linking M. leprae and humid environments cannot be discarded. Socio-economic conditions such as inequality, a greater number of dwellers by residence and migration are derived from the urbanisation process carried out in this State. Precarious settlements and poor living conditions in the cities would favour the continuity of leprosy transmission. © 2014 John Wiley & Sons Ltd.

  7. Influence of self-perceived oral health and socioeconomic predictors on the utilization of dental care services by schoolchildren.

    Science.gov (United States)

    Piovesan, Chaiana; Antunes, José Leopoldo Ferreira; Guedes, Renata Saraiva; Ardenghi, Thiago Machado

    2011-01-01

    The influence of socioeconomic factors and self-rated oral health on children's dental health assistance was assessed. This study followed a cross-sectional design, with a multistage random sample of 792 12-year-old schoolchildren from Santa Maria, a city in southern Brazil. A dental examination provided information on the prevalence of dental caries (DMFT index). Data about the use of dental service, socioeconomic status, and self-perceived oral health were collected by means of structured interviews. These associations were assessed using Poisson regression models (prevalence ratio; 95% confidence interval). The prevalence of regular use of dental service was 47.8%. Children from low socioeconomic backgrounds and those who rated their oral health as "poor" used the service less frequently. The distribution of the kind of oral healthcare assistance used (public/private) varied across socioeconomic groups. The better-off children were less likely to have used the public service. Clinical, socioeconomic, and psychosocial factors were strong predictors for the utilization of dental care services by schoolchildren.

  8. Multivariate Time Series Search

    Data.gov (United States)

    National Aeronautics and Space Administration — Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical...

  9. Intelligent multivariate process supervision

    International Nuclear Information System (INIS)

    Visuri, Pertti.

    1986-01-01

    This thesis addresses the difficulties encountered in managing large amounts of data in supervisory control of complex systems. Some previous alarm and disturbance analysis concepts are reviewed and a method for improving the supervision of complex systems is presented. The method, called multivariate supervision, is based on adding low level intelligence to the process control system. By using several measured variables linked together by means of deductive logic, the system can take into account the overall state of the supervised system. Thus, it can present to the operators fewer messages with higher information content than the conventional control systems which are based on independent processing of each variable. In addition, the multivariate method contains a special information presentation concept for improving the man-machine interface. (author)

  10. Allocation algorithm for athletes group to form tactical tasks in game team sports using the methods of multivariate analysis (illustrated women Ukrainian team basketball with hearing impairments

    Directory of Open Access Journals (Sweden)

    Zh.L. Kozina

    2014-12-01

    Full Text Available Purpose : develop and prove experimentally allocation algorithm athletes in groups to form a tactical tasks in team sports game using methods of multivariate analysis. Material : The study involved 12 basketball hearing impaired 20-25 years old - female players team of Ukraine on basketball. Analyzed the results of testing and competitive activity 12 basketball players with hearing impairments - Lithuanian team players. Results : An algorithm for distribution by groups of athletes for the formation of tactical tasks. The algorithm consists of the following steps: 1 - testing of athletes; 2 - A hierarchical cluster analysis performance testing; 3 - Distribution of sportsmen groups, analysis of the characteristics of athletes, the formation of tactical tasks. Found higher rates of reaction rate at the offensive players. We pivot revealed a higher level of absolute strength. The defenders found a higher frequency of movement and jumping. Conclusions : The algorithm is the basis for determining the best options mutual combination players in the development and implementation of tactical combinations, the selection of partners when working in pairs and triples in training.

  11. Ethnic differentials in the timing of family formation: A case study of the complex interaction between ethnicity, socioeconomic level, and marriage market pressure

    Directory of Open Access Journals (Sweden)

    Heather Booth

    2010-07-01

    Full Text Available Ethnic differentials in the timing of family formation in Fiji cannot be adequately explained by hypotheses commonly used to explain differentials in fertility behaviour, namely the norms, characteristics, minority group and interaction hypotheses. The norms hypothesis explains a large part of the differentials, but socio-economic factors and changing norms are increasingly involved. The interaction hypothesis is partially operational but cannot explain decreasing age at marriage among lower socio-economic groups. A more comprehensive approach incorporates the counterbalancing effects of modernisation and marriage market imbalances arising from fertility transition. This approach also allows for true interactions between norms, socio-economic characteristics and demographic behaviour.

  12. Graphics for the multivariate two-sample problem

    International Nuclear Information System (INIS)

    Friedman, J.H.; Rafsky, L.C.

    1981-01-01

    Some graphical methods for comparing multivariate samples are presented. These methods are based on minimal spanning tree techniques developed for multivariate two-sample tests. The utility of these methods is illustrated through examples using both real and artificial data

  13. Multivariate approach to matrimonial mobility in Catalonia.

    Science.gov (United States)

    Calafell, F; Hernández, M

    1993-10-01

    Matrimonial mobility in Catalonia was studied using 1986 census data. Comarca (a geographic division) of birth was used as the population unit, and a measure of affinity (a statistical distance) between comarques in spouse geographic origin was defined. This distance was analyzed with multivariate methods drawn from numerical taxonomy to detect any discontinuities in matrimonial mobility and gene flow between comarques. Results show a three-level pattern of gene flow in Catalonia: (1) a strong endogamy within comarques; (2) a 100-km matrimonial circle around every comarca; and (3) the capital, Barcelona, which attracts migrants from all over Catalonia. The regionalization in matrimonial mobility follows the geographically clear-cut groups of comarques almost exactly.

  14. Socioeconomic inequalities in prognostic markers of non-Hodgkin lymphoma: analysis of a national clinical database

    DEFF Research Database (Denmark)

    Frederiksen, Birgitte Lidegaard; Brown, Peter de Nully; Dalton, Susanne Oksbjerg

    2011-01-01

    in histological subgroups reflecting aggressiveness of disease among the social groups. One of the most likely mechanisms of the social difference is longer delay in those with low socioeconomic position. The findings of social inequality in prognostic markers in non-Hodgkin lymphoma (NHL) patients could already......The survival of non-Hodgkin lymphoma patients strongly depends on a range of prognostic factors. This registry-based clinical cohort study investigates the relation between socioeconomic position and prognostic markers in 6234 persons included in a national clinical database in 2000-2008, Denmark....... Several measures of individual socioeconomic position were achieved from Statistics Denmark. The risk of being diagnosed with advanced disease, as expressed by the six prognostic markers (Ann Arbor stage III or IV, more than one extranodal lesion, elevated serum lactate dehydrogenase (LDH), performance...

  15. Socioeconomic, psychological and demographic determinants of Australian baby boomers' financial planning for retirement.

    Science.gov (United States)

    Noone, Jack; O'Loughlin, Kate; Kendig, Hal

    2012-09-01

    Research from around the Western World has shown that psychological, socioeconomic and demographic factors can influence levels of financial planning. This study aims to determine how these factors interrelate to predict planning outcomes. Data from the Ageing Baby Boomers in Australia Study were used to examine the effects of multiple factors on financial planning for 709 employed Australians nearing retirement. The results showed that higher income, future time perspective (FTP) and financial knowledge independently predicted levels of retirement planning. The effects of FTP and financial knowledge on financial planning were consistent across levels of socioeconomic status. While similar issues in financial planning appeared across socioeconomic status, a 'one size fits all' approach to retirement policy may not be effective. Instead, policy should be targeted towards the diverse needs of different groups. Raising public awareness of FTP and financial knowledge may provide a useful starting point. © 2012 The Authors. Australasian Journal on Ageing © 2012 ACOTA.

  16. Impact of geographic area level on measuring socioeconomic disparities in cancer survival in New South Wales, Australia: A period analysis.

    Science.gov (United States)

    Stanbury, Julia F; Baade, Peter D; Yu, Yan; Yu, Xue Qin

    2016-08-01

    Area-based socioeconomic measures are widely used in health research. In theory, the larger the area used the more individual misclassification is introduced, thus biasing the association between such area level measures and health outcomes. In this study, we examined the socioeconomic disparities in cancer survival using two geographic area-based measures to see if the size of the area matters. We used population-based cancer registry data for patients diagnosed with one of 10 major cancers in New South Wales (NSW), Australia during 2004-2008. Patients were assigned index measures of socioeconomic status (SES) based on two area-level units, census Collection District (CD) and Local Government Area (LGA) of their address at diagnosis. Five-year relative survival was estimated using the period approach for patients alive during 2004-2008, for each socioeconomic quintile at each area-level for each cancer. Poisson-regression modelling was used to adjust for socioeconomic quintile, sex, age-group at diagnosis and disease stage at diagnosis. The relative excess risk of death (RER) by socioeconomic quintile derived from this modelling was compared between area-units. We found extensive disagreement in SES classification between CD and LGA levels across all socioeconomic quintiles, particularly for more disadvantaged groups. In general, more disadvantaged patients had significantly lower survival than the least disadvantaged group for both CD and LGA classifications. The socioeconomic survival disparities detected by CD classification were larger than those detected by LGA. Adjusted RER estimates by SES were similar for most cancers when measured at both area levels. We found that classifying patient SES by the widely used Australian geographic unit LGA results in underestimation of survival disparities for several cancers compared to when SES is classified at the geographically smaller CD level. Despite this, our RER of death estimates derived from these survival

  17. Supporting inquiry learning by promoting normative understanding of multivariable causality

    Science.gov (United States)

    Keselman, Alla

    2003-11-01

    Early adolescents may lack the cognitive and metacognitive skills necessary for effective inquiry learning. In particular, they are likely to have a nonnormative mental model of multivariable causality in which effects of individual variables are neither additive nor consistent. Described here is a software-based intervention designed to facilitate students' metalevel and performance-level inquiry skills by enhancing their understanding of multivariable causality. Relative to an exploration-only group, sixth graders who practiced predicting an outcome (earthquake risk) based on multiple factors demonstrated increased attention to evidence, improved metalevel appreciation of effective strategies, and a trend toward consistent use of a controlled comparison strategy. Sixth graders who also received explicit instruction in making predictions based on multiple factors showed additional improvement in their ability to compare multiple instances as a basis for inferences and constructed the most accurate knowledge of the system. Gains were maintained in transfer tasks. The cognitive skills and metalevel understanding examined here are essential to inquiry learning.

  18. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. The TRIPOD Group.

    Science.gov (United States)

    Collins, Gary S; Reitsma, Johannes B; Altman, Douglas G; Moons, Karel G M

    2015-01-13

    Prediction models are developed to aid health care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Initiative developed a set of recommendations for the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed. An extensive list of items based on a review of the literature was created, which was reduced after a Web-based survey and revised during a 3-day meeting in June 2011 with methodologists, health care professionals, and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org). © 2015 The Authors.

  19. The association between socioeconomic status and obesity in Peruvian women.

    Science.gov (United States)

    Poterico, Julio A; Stanojevic, Sanja; Ruiz-Grosso, Paulo; Bernabe-Ortiz, Antonio; Miranda, J Jaime

    2012-11-01

    Historically in developing countries, the prevalence of obesity has been greater in more advantaged socioeconomic groups. However, in recent years the association between socioeconomic status (SES) and obesity has changed and varies depending on the country's development stage. This study examines the relationship between SES and obesity using two indicators of SES: education or possession assets. Using the cross-sectional 2008 National Demographic and Family Health Survey of Peru (ENDES 2008), we investigated this relationship in women aged 15-49 years living in rural and urban settings. Descriptive, linear and logistic regressions analyses were conducted accounting for the multistage nature of the sampling design. The overall prevalence of obesity in this study was 14.1% (95% confidence interval (CI): 13.3-14.8); 8.4% (95% CI: 7.5-9.3) in rural areas and 16.2% (95% CI: 15.2-17.2) in urban areas. Wealthier women were more likely to be obese, and this association was stronger in rural areas. Conversely, more educated women were less likely to be obese, especially in urban areas. The distribution of obesity in Peruvian women is strongly related to socioeconomic position, and differs whether measured as possession assets or by level of education. These findings could have important implications for policy development in Peru.

  20. Socioeconomic Segregation in Large Cities in France and the United States.

    Science.gov (United States)

    Quillian, Lincoln; Lagrange, Hugues

    2016-08-01

    Past cross-national comparisons of socioeconomic segregation have been undercut by lack of comparability in measures, data, and concepts. Using IRIS data from the French Census of 2008 and the French Ministry of Finance as well as tract data from the American Community Survey (2006-2010) and the U.S. Department of Housing and Urban Development Picture of Subsidized Households, and constructing measures to be as similar as possible, we compare socioeconomic segregation in metropolitan areas with a population of more than 1 million in France and the United States. We find much higher socioeconomic segregation in large metropolitan areas in the United States than in France. We also find (1) a strong pattern of low-income neighborhoods in central cities and high-income neighborhoods in suburbs in the United States, but varying patterns across metropolitan areas in France; (2) that high-income persons are the most segregated group in both countries; (3) that the shares of neighborhood income differences that can be explained by neighborhood racial/ethnic composition are similar in France and the United States; and (4) that government-assisted housing is disproportionately located in the poorest neighborhoods in the United States but is spread across many neighborhood income levels in France. We conclude that differences in government provision of housing assistance and levels of income inequality are likely important contributing factors to the Franco-U.S. difference in socioeconomic segregation.

  1. Multivariate statistical evaluation of trace elements in groundwater in a coastal area in Shenzhen, China

    International Nuclear Information System (INIS)

    Chen Kouping; Jiao, Jiu J.; Huang Jianmin; Huang Runqiu

    2007-01-01

    Multivariate statistical techniques are efficient ways to display complex relationships among many objects. An attempt was made to study the data of trace elements in groundwater using multivariate statistical techniques such as principal component analysis (PCA), Q-mode factor analysis and cluster analysis. The original matrix consisted of 17 trace elements estimated from 55 groundwater samples colleted in 27 wells located in a coastal area in Shenzhen, China. PCA results show that trace elements of V, Cr, As, Mo, W, and U with greatest positive loadings typically occur as soluble oxyanions in oxidizing waters, while Mn and Co with greatest negative loadings are generally more soluble within oxygen depleted groundwater. Cluster analyses demonstrate that most groundwater samples collected from the same well in the study area during summer and winter still fall into the same group. This study also demonstrates the usefulness of multivariate statistical analysis in hydrochemical studies. - Multivariate statistical analysis was used to investigate relationships among trace elements and factors controlling trace element distribution in groundwater

  2. Measuring social capital through multivariate analyses for the IQ-SC.

    Science.gov (United States)

    Campos, Ana Cristina Viana; Borges, Carolina Marques; Vargas, Andréa Maria Duarte; Gomes, Viviane Elisangela; Lucas, Simone Dutra; Ferreira e Ferreira, Efigênia

    2015-01-20

    Social capital can be viewed as a societal process that works toward the common good as well as toward the good of the collective based on trust, reciprocity, and solidarity. Our study aimed to present two multivariate statistical analyses to examine the formation of latent classes of social capital using the IQ-SC and to identify the most important factors in building an indicator of individual social capital. A cross-sectional study was conducted in 2009 among working adolescents supported by a Brazilian NGO. The sample consisted of 363 individuals, and data were collected using the World Bank Questionnaire for measuring social capital. First, the participants were grouped by a segmentation analysis using the Two Step Cluster method based on the Euclidian distance and the centroid criteria as the criteria for aggregate answers. Using specific weights for each item, discriminant analysis was used to validate the cluster analysis in an attempt to maximize the variance among the groups with respect to the variance within the clusters. "Community participation" and "trust in one's neighbors" contributed significantly to the development of the model with two distinct discriminant functions (p < 0.001). The majority of cases (95.0%) and non-cases (93.1%) were correctly classified by discriminant analysis. The two multivariate analyses (segmentation analysis and canonical discriminant analysis), used together, can be considered good choices for measuring social capital. Our results indicate that it is possible to form three social capital groups (low, medium and high) using the IQ-SC.

  3. Time perspective, socioeconomic status, and psychological distress in chronic pain patients.

    Science.gov (United States)

    Dany, Lionel; Roussel, Philippe; Laguette, Vanessa; Lagouanelle-Simeoni, Marie-Claude; Apostolidis, Themis

    2016-01-01

    Time perspective (TP) is a fundamental dimension of the psychological construction of time. It refers to a subjective experience and can be defined as the relationship that individuals and groups have with the present, past, and future. Studies have shown that it is interesting to take into account TP in the field of health, especially for the study of the psychological distress (PD) of individuals faced with aversive situations. We conducted a research, which aimed to explore the relationship between TP and PD in patients with chronic pain. A total of 264 first-time patients (72.3% women; mean age = 49 years) at CHU Timone (Marseille) pain center answered a questionnaire included TP, socioeconomic status, pain beliefs (PB), pain characteristics, and sociodemographic characteristics. Using hierarchical regression analyses adjusted to the characteristics of pain, sociodemographic characteristics, and PB, we can observe significant relationships between different components of TP, socioeconomic status, and PD. These results emphasize the importance of TP as psychosocial variable in the analysis of PD in patients with chronic pain. These results also lead us to point out the role of the socioeconomic status that predicts levels of PD.

  4. Multivariate Analysis and Machine Learning in Cerebral Palsy Research.

    Science.gov (United States)

    Zhang, Jing

    2017-01-01

    Cerebral palsy (CP), a common pediatric movement disorder, causes the most severe physical disability in children. Early diagnosis in high-risk infants is critical for early intervention and possible early recovery. In recent years, multivariate analytic and machine learning (ML) approaches have been increasingly used in CP research. This paper aims to identify such multivariate studies and provide an overview of this relatively young field. Studies reviewed in this paper have demonstrated that multivariate analytic methods are useful in identification of risk factors, detection of CP, movement assessment for CP prediction, and outcome assessment, and ML approaches have made it possible to automatically identify movement impairments in high-risk infants. In addition, outcome predictors for surgical treatments have been identified by multivariate outcome studies. To make the multivariate and ML approaches useful in clinical settings, further research with large samples is needed to verify and improve these multivariate methods in risk factor identification, CP detection, movement assessment, and outcome evaluation or prediction. As multivariate analysis, ML and data processing technologies advance in the era of Big Data of this century, it is expected that multivariate analysis and ML will play a bigger role in improving the diagnosis and treatment of CP to reduce mortality and morbidity rates, and enhance patient care for children with CP.

  5. The Simultaneous Effects of Socioeconomic Disadvantage and Child Health on Children’s Cognitive Development

    Science.gov (United States)

    Lee, Dohoon; Jackson, Margot

    2018-01-01

    Family socioeconomic status (SES) and child health are so strongly related that scholars have speculated child health to be an important pathway through which a “cycle of poverty” is reproduced across generations. Despite increasing recognition that SES and health work reciprocally and dynamically over the life course to produce inequality, however, existing research has yet to address how these two pathways simultaneously shape children’s development. Using longitudinal data from the Fragile Families and Child Wellbeing Study and marginal structural models, we ask three questions: 1) how does the reciprocal relationship between socioeconomic disadvantage and child health affect estimates of each circumstance on children’s cognitive development?; 2) how do their respective effects vary with age?; and 3) do family SES and child health have differential effects on cognitive development across population subgroups? The results show that the negative effects of socioeconomic disadvantage and poor health are insensitive to their reciprocal relationships over time. We find divergent effects of socioeconomic disadvantage and poor health on children’s cognitive trajectories, with a widening pattern for family SES effects and a leveling-off pattern for child health effects. Finally, the effects of socioeconomic disadvantage are similar across all racial/ethnic groups, while the effects of child health are largely driven by white children. We discuss theoretical and policy implications of these findings for future research. PMID:28836169

  6. ICT reuse in socio-economic enterprises

    International Nuclear Information System (INIS)

    Ongondo, F.O.; Williams, I.D.; Dietrich, J.; Carroll, C.

    2013-01-01

    Highlights: • We analyse ICT equipment reuse operations of socio-economic enterprises. • Most common ICT products dealt with are computers and related equipment. • In the UK in 2010, ∼143,750 appliances were reused. • Marketing and legislative difficulties are the common hurdles to reuse activities. • Socio-economic enterprises can significantly contribute to resource efficiency. - Abstract: In Europe, socio-economic enterprises such as charities, voluntary organisations and not-for-profit companies are involved in the repair, refurbishment and reuse of various products. This paper characterises and analyses the operations of socio-economic enterprises that are involved in the reuse of Information and Communication Technology (ICT) equipment. Using findings from a survey, the paper specifically analyses the reuse activities of socio-economic enterprises in the UK from which Europe-wide conclusions are drawn. The amount of ICT products handled by the reuse organisations is quantified and potential barriers and opportunities to their operations are analysed. By-products from reuse activities are discussed and recommendations to improve reuse activities are provided. The most common ICT products dealt with by socio-economic enterprises are computers and related equipment. In the UK in 2010, an estimated 143,750 appliances were reused. However, due to limitations in data, it is difficult to compare this number to the amount of new appliances that entered the UK market or the amount of waste electrical and electronic equipment generated in the same period. Difficulties in marketing products and numerous legislative requirements are the most common barriers to reuse operations. Despite various constraints, it is clear that organisations involved in reuse of ICT could contribute significantly to resource efficiency and a circular economy. It is suggested that clustering of their operations into “reuse parks” would enhance both their profile and their

  7. ICT reuse in socio-economic enterprises

    Energy Technology Data Exchange (ETDEWEB)

    Ongondo, F.O., E-mail: f.ongondo@soton.ac.uk [Centre for Environmental Sciences, Faculty of Engineering and the Environment, Lanchester Building, University of Southampton, University Rd., Highfield, Southampton, Hampshire SO17 1BJ (United Kingdom); Williams, I.D. [Centre for Environmental Sciences, Faculty of Engineering and the Environment, Lanchester Building, University of Southampton, University Rd., Highfield, Southampton, Hampshire SO17 1BJ (United Kingdom); Dietrich, J. [Technische Universität Berlin, Centre for Scientific Continuing Education and Cooperation, Cooperation and Consulting for Environmental Questions (kubus) FH10-1, Fraunhoferstraße 33-36, 10587 Berlin (Germany); Carroll, C. [Centre for Environmental Sciences, Faculty of Engineering and the Environment, Lanchester Building, University of Southampton, University Rd., Highfield, Southampton, Hampshire SO17 1BJ (United Kingdom)

    2013-12-15

    Highlights: • We analyse ICT equipment reuse operations of socio-economic enterprises. • Most common ICT products dealt with are computers and related equipment. • In the UK in 2010, ∼143,750 appliances were reused. • Marketing and legislative difficulties are the common hurdles to reuse activities. • Socio-economic enterprises can significantly contribute to resource efficiency. - Abstract: In Europe, socio-economic enterprises such as charities, voluntary organisations and not-for-profit companies are involved in the repair, refurbishment and reuse of various products. This paper characterises and analyses the operations of socio-economic enterprises that are involved in the reuse of Information and Communication Technology (ICT) equipment. Using findings from a survey, the paper specifically analyses the reuse activities of socio-economic enterprises in the UK from which Europe-wide conclusions are drawn. The amount of ICT products handled by the reuse organisations is quantified and potential barriers and opportunities to their operations are analysed. By-products from reuse activities are discussed and recommendations to improve reuse activities are provided. The most common ICT products dealt with by socio-economic enterprises are computers and related equipment. In the UK in 2010, an estimated 143,750 appliances were reused. However, due to limitations in data, it is difficult to compare this number to the amount of new appliances that entered the UK market or the amount of waste electrical and electronic equipment generated in the same period. Difficulties in marketing products and numerous legislative requirements are the most common barriers to reuse operations. Despite various constraints, it is clear that organisations involved in reuse of ICT could contribute significantly to resource efficiency and a circular economy. It is suggested that clustering of their operations into “reuse parks” would enhance both their profile and their

  8. Multivariable biorthogonal continuous--discrete Wilson and Racah polynomials

    International Nuclear Information System (INIS)

    Tratnik, M.V.

    1990-01-01

    Several families of multivariable, biorthogonal, partly continuous and partly discrete, Wilson polynomials are presented. These yield limit cases that are purely continuous in some of the variables and purely discrete in the others, or purely discrete in all the variables. The latter are referred to as the multivariable biorthogonal Racah polynomials. Interesting further limit cases include the multivariable biorthogonal Hahn and dual Hahn polynomials

  9. The modifying effect of socioeconomic status on the relationship between traffic, air pollution and respiratory health in elementary schoolchildren.

    Science.gov (United States)

    Cakmak, Sabit; Hebbern, Christopher; Cakmak, Jasmine D; Vanos, Jennifer

    2016-07-15

    The volume and type of traffic and exposure to air pollution have been found to be associated with respiratory health, but few studies have considered the interaction with socioeconomic status at the household level. We investigated the relationships of respiratory health related to traffic type, traffic volume, and air pollution, stratifying by socioeconomic status, based on household income and education, in 3591 schoolchildren in Windsor, Canada. Interquartile range changes in traffic exposure and pollutant levels were linked to respiratory symptoms and objective measures of lung function using generalised linear models for three levels of income and education. In 95% of the relationships among all cases, the odds ratios for reported respiratory symptoms (a decrease in measured lung function), based on an interquartile range change in traffic exposure or pollutant, were greater in the lower income/education groups than the higher, although the odds ratios were in most cases not significant. However, in up to 62% of the cases, the differences between high and low socioeconomic groups were statistically significant, thus indicating socioeconomic status (SES) as a significant effect modifier. Our findings indicate that children from lower socioeconomic households have a higher risk of specific respiratory health problems (chest congestion, wheezing) due to traffic volume and air pollution exposure. Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

  10. Calculus of multivariate functions: it's application in business | Awen ...

    African Journals Online (AJOL)

    Multivariate functions can be applied to situations in business organizations like ... of capital invested in the plant, the size of the labour force and the cost of raw ... of multivariate functions and has considered types of multivariate differentiation ...

  11. Moving forward socio-economically focused models of deforestation.

    Science.gov (United States)

    Dezécache, Camille; Salles, Jean-Michel; Vieilledent, Ghislain; Hérault, Bruno

    2017-09-01

    Whilst high-resolution spatial variables contribute to a good fit of spatially explicit deforestation models, socio-economic processes are often beyond the scope of these models. Such a low level of interest in the socio-economic dimension of deforestation limits the relevancy of these models for decision-making and may be the cause of their failure to accurately predict observed deforestation trends in the medium term. This study aims to propose a flexible methodology for taking into account multiple drivers of deforestation in tropical forested areas, where the intensity of deforestation is explicitly predicted based on socio-economic variables. By coupling a model of deforestation location based on spatial environmental variables with several sub-models of deforestation intensity based on socio-economic variables, we were able to create a map of predicted deforestation over the period 2001-2014 in French Guiana. This map was compared to a reference map for accuracy assessment, not only at the pixel scale but also over cells ranging from 1 to approximately 600 sq. km. Highly significant relationships were explicitly established between deforestation intensity and several socio-economic variables: population growth, the amount of agricultural subsidies, gold and wood production. Such a precise characterization of socio-economic processes allows to avoid overestimation biases in high deforestation areas, suggesting a better integration of socio-economic processes in the models. Whilst considering deforestation as a purely geographical process contributes to the creation of conservative models unable to effectively assess changes in the socio-economic and political contexts influencing deforestation trends, this explicit characterization of the socio-economic dimension of deforestation is critical for the creation of deforestation scenarios in REDD+ projects. © 2017 John Wiley & Sons Ltd.

  12. Multivariate calculus and geometry

    CERN Document Server

    Dineen, Seán

    2014-01-01

    Multivariate calculus can be understood best by combining geometric insight, intuitive arguments, detailed explanations and mathematical reasoning. This textbook has successfully followed this programme. It additionally provides a solid description of the basic concepts, via familiar examples, which are then tested in technically demanding situations. In this new edition the introductory chapter and two of the chapters on the geometry of surfaces have been revised. Some exercises have been replaced and others provided with expanded solutions. Familiarity with partial derivatives and a course in linear algebra are essential prerequisites for readers of this book. Multivariate Calculus and Geometry is aimed primarily at higher level undergraduates in the mathematical sciences. The inclusion of many practical examples involving problems of several variables will appeal to mathematics, science and engineering students.

  13. The socioeconomic gradient of secondhand smoke exposure in children: evidence from 26 low-income and middle-income countries.

    Science.gov (United States)

    Hajizadeh, Mohammad; Nandi, Arijit

    2016-12-01

    To provide the first analysis of socioeconomic inequalities in children's daily exposure to indoor smoking in households in 26 low-income and middle-income countries (LMICs). We used nationally representative household samples (n=369 654) collected through the Demographic Health Surveys between 2010 and 2014 to calculate daily exposure to secondhand smoke (ESHS) among children aged 0-5 years. The relative and absolute concentration (RC and AC) indices were used to quantify wealth-based inequalities in daily ESHS in each country and in urban and rural areas in each country. We decomposed total socioeconomic inequalities in ESHS into within-group and between-group (rural-urban) inequalities to identify the sources of wealth-based inequality in ESHS in LMICs. We observed substantial variation across countries in the prevalence of daily ESHS among children. Children's ESHS was higher in rural areas compared to urban areas in the majority of the countries. The RC and AC demonstrated that daily ESHS was concentrated among poorer children in almost all countries (RC, median=-0.179, IQR=0.186 and AC, median=-0.040, IQR=0.055). The concentration of ESHS among poorer children was greater in urban relative to rural areas. The decomposition of the overall socioeconomic inequality in daily ESHS revealed that wealth-based differences in ESHS within urban and rural areas were the main contributor to socioeconomic inequalities in most countries (median=46%, IQR=32%). Special attention should be given to reduce ESHS among children from rural and socioeconomically disadvantaged households as social inequalities in ESHS might contribute to social inequalities in health over the life course. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  14. [Comparative study of height and age at menarche according to the socioeconomic level in Venezuela].

    Science.gov (United States)

    López Contreras, M; Tovar Escobar, G; Farid Coupal, N; Landaeta Jiménez, M; Méndez Castellano, H

    1981-12-01

    This is a retrospective study based on growth and development data published in Venezuela by various authors in the period 1936-1978. The data on height for males of the middle and high socioeconomic strata show growth curves which are very similar to the standards for British children. Likewise, the girls of the same socioeconomic condition follow the British standards, but only up to about 10-12 years of age. After that age, the girls studied by the Venezuelan authors, show a pattern of early maturation with a corresponding lower adult height compared with their British counterparts. There were differences in the growth curves according to the socioeconomic strata. These differences were more marked in the girls data. A secular increase for height was discerned, from the published data, in all socioeconomic strata and in both sexes. The data on sexual maturation showed a tendency for progressively early menarche in Venezuelan girls. These changes in growth in height and age of menarche were more notorious and came about at an earlier age in the upper socioeconomic strata. They were less marked, not constant, and came about later in the lower socioeconomic groups. The secular changes in height and sexual maturation apparent from these data, could be explained by an improvement in the environmental conditions, especially nutrition and hygiene of the population, and also be genetic heterosis from European immigration and with improvement in communications.

  15. Socioeconomic Status, Race/Ethnicity, and Diurnal Cortisol Trajectories in Middle-Aged and Older Adults.

    Science.gov (United States)

    Samuel, Laura J; Roth, David L; Schwartz, Brian S; Thorpe, Roland J; Glass, Thomas A

    2018-03-02

    Slow afternoon cortisol decline may be a marker of aging. We hypothesize that lower socioeconomic status (SES) and African American race are associated with lower waking cortisol and slower afternoon decline. Six salivary cortisol samples, collected within a 24-hr period from 566 cohort participants aged 56-78 years, were examined in random-effects models. SES measures included socioeconomic vulnerability (household income and assets Accounting for African American race/ethnicity, socioeconomic vulnerability was associated with a 3% faster decline, and education was not associated with cortisol. African Americans had 26% lower average waking cortisol and 1% slower decline than others. African American race/ethnicity, but not lower SES, was associated with lower waking cortisol and slower afternoon decline in middle-aged and older adults. This pattern is likely a marker of earlier biological aging in vulnerable groups. Race/ethnicity may compete with SES as a measure of cumulative vulnerability.

  16. Path analysis and multi-criteria decision making: an approach for multivariate model selection and analysis in health.

    Science.gov (United States)

    Vasconcelos, A G; Almeida, R M; Nobre, F F

    2001-08-01

    This paper introduces an approach that includes non-quantitative factors for the selection and assessment of multivariate complex models in health. A goodness-of-fit based methodology combined with fuzzy multi-criteria decision-making approach is proposed for model selection. Models were obtained using the Path Analysis (PA) methodology in order to explain the interrelationship between health determinants and the post-neonatal component of infant mortality in 59 municipalities of Brazil in the year 1991. Socioeconomic and demographic factors were used as exogenous variables, and environmental, health service and agglomeration as endogenous variables. Five PA models were developed and accepted by statistical criteria of goodness-of fit. These models were then submitted to a group of experts, seeking to characterize their preferences, according to predefined criteria that tried to evaluate model relevance and plausibility. Fuzzy set techniques were used to rank the alternative models according to the number of times a model was superior to ("dominated") the others. The best-ranked model explained above 90% of the endogenous variables variation, and showed the favorable influences of income and education levels on post-neonatal mortality. It also showed the unfavorable effect on mortality of fast population growth, through precarious dwelling conditions and decreased access to sanitation. It was possible to aggregate expert opinions in model evaluation. The proposed procedure for model selection allowed the inclusion of subjective information in a clear and systematic manner.

  17. Improving children’s mobility and access to socio-economic opportunities: A synthesis of literature

    CSIR Research Space (South Africa)

    Mashiri, M

    2005-07-01

    Full Text Available the population of many such countries consists of children and young persons. Improving mobility and access to socio-economic opportunities for this group is crucial if the Millennium Development Goals of Universal Primary Education, Promotion of Gender Equity...

  18. Increase in assisted suicide in Switzerland: did the socioeconomic predictors change? Results from the Swiss National Cohort.

    Science.gov (United States)

    Steck, Nicole; Junker, Christoph; Zwahlen, Marcel

    2018-04-17

    To determine whether the strong increase in assisted suicides in Switzerland since 2008 is linked to a shift in the socioeconomic factors associated with assisted suicide and its related diagnoses. In a population-based longitudinal study, we investigated assisted suicides in Switzerland over the period 2003-2014. Two groups of younger (25-64 years) and older (65-94 years) persons were analysed separately and compared. We calculated crude rates and used Cox proportional hazard and logistic regression models to examine associations of assisted dying with gender, marital status, education, religion, neighbourhood socioeconomic status and other variables, and investigated trends over time. We identified 3941 assisted suicides among 6 237 997 Swiss residents, 80% of which occurred in the older age group. Crude rates of assisted suicide more than tripled during the study period from 3.60 to 11.21 per 100 000 person-years; the increase was more pronounced in the older age group. Cancer was the most common underlying diagnosis (41.8%), but the percentage dying assisted was highest among patients with diseases of the nervous system (5.25% in the younger and 1.23% in the older age group). The factors associated with assisted suicide did not change during the study period. Female gender, higher education, having no religious affiliation, no children and a Swiss passport, living in a neighbourhood with a higher socioeconomic index and living in the French-speaking part of Switzerland were associated with a higher rate. The study results do not indicate any shift in socioeconomic factors associated with assisted suicide, but a more pronounced increase in incidence among the elderly. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  19. Multivariable Feedback Control of Nuclear Reactors

    Directory of Open Access Journals (Sweden)

    Rune Moen

    1982-07-01

    Full Text Available Multivariable feedback control has been adapted for optimal control of the spatial power distribution in nuclear reactor cores. Two design techniques, based on the theory of automatic control, were developed: the State Variable Feedback (SVF is an application of the linear optimal control theory, and the Multivariable Frequency Response (MFR is based on a generalization of the traditional frequency response approach to control system design.

  20. Assessing the role of socio-economic values on entrepreneurial intentions among university students in Cape Town

    Directory of Open Access Journals (Sweden)

    Vivence Kalitanyi

    2017-12-01

    Full Text Available Background: This article presents the findings of an empirical fieldwork study conducted in Cape Town, South Africa. Aim: The aim of the study was to establish how socio-economic values (income, economic development, employment or unemployment in the university students’ direct environment shape their entrepreneurial intentions. Setting and method: The study was built on Ajzen’ psychological model on entrepreneurial intentions, and used a semi-structured questionnaire to collect data from 274 entrepreneurship university students. Cronbach’s alpha was used to measure the reliability of the questionnaire, where six variables out of nine, had a coefficient alpha of more than 0.7, while the remaining three had a coefficient alpha of between 0.5 and 0.7. This instrument was assessed by both statisticians and academics who are experts in their fields to ensure its validity. Multivariate tests of statistical significance were conducted, where correlation and regression statistics were used to analyse the data. Results: Findings suggest that socio-economic factors have an impact in shaping entrepreneurial intentions of the university students. Conclusion: The study formulates the recommendations to the government, businesses, civil society organisations as well as the community within which students live.